Participated in
DataHour: LLM Fine-tuning for Beginners with Unsloth
|
Participated in
DataHour: Large Language Models: Foundation, Evolution and Applications
|
Participated in
DataHour: Introduction to Serving Machine Learning Models as Microservices
|
Participated in
DataHour: Innovative Applications of Artificial Intelligence
|
Participated in
DataHour: Real-World REST APIs with Docker Containers
|
Participated in
DataHour: Building Robust RAG Applications for the Real-World
|
Participated in
DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach
|
Participated in
Loan Prediction
|
Participated in
DataHour: Continuous Testing and Evaluation with LLMs
|
Participated in
DataHour: Rust and Python in the age of LLMOps
|
Participated in
DataHour: Full-Stack Data Science with FastAPI
|
Participated in
Better Data Understanding Through GenAI Powered Search
|
Participated in
DataHour: Harnessing ML and NLP for Elevated Customer Experiences
|
Participated in
DataHour: Empowering Stakeholders: With Supercharged & Functional Tableau Dashboard
|
Participated in
DataHour: Responsible Use of Generative AI
|
Participated in
DataHour: Creating Delightful Customer Experience with RAG
|
Participated in
DataHour: The Future of GenAI
|
Participated in
DataHour: Data Curation and Reliability for LLM and GenAI Applications
|
Participated in
DataHour: Should I Use RAG or Fine-Tuning?
|
Participated in
DataHour: How to Customize and Evaluate Your LLMs
|
Participated in
JanataHack: NLP Hackathon
|
Participated in
DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future
|
Participated in
DataHour:LangChain 101
|
Participated in
DataHour: Demystifying HugginFace, LlamaIndex, and LangChain
|
Participated in
DataHour: Building Generative AI Applications using Amazon Bedrock
|
Participated in
DataHour: Enterprise Challenges with Generative AI and LLMs
|
Participated in
DataHour: ML Model Deployment: Best MLOps and GitOps Practices
|
Participated in
DataHour: Open-Source For Accelerating AI Development
|
Participated in
DataHour: Implementing Gen AI solutions with RAG Architecture
|
Participated in
DataHour: Predictive Analytics - Performance Estimation without the Target Data
|
Participated in
DataHour: Build Your Own Private ChatBot using GenAI- RAG
|
Participated in
WNS Triange Hackquest
|
Participated in
DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions
|
Participated in
DataHour: Natural Language to SQL: Analyzing Netflix Movies with LLMs
|
Participated in
DataHour: Search With ChatGPT: RAG and Semantic Search
|
Participated in
DataHour: Mastering Conversational AI: Building Question-Answer Bot with LLM and RAG
|
Participated in
DataHour: Creating Synthetic Data: An Easy Python Tutorial for Beginners
|
Participated in
HackLive 3: Guided Hackathon - NLP
|
Participated in
DataHour: Interpreting Machine Learning Models with Python
|
Participated in
DataHour: Significance of Vector Databases in Gen AI
|
Participated in
DataHour: Model Explainability and Model Diagnosis
|
Participated in
DataHour: Large Language Models for India
|
Participated in
DataHour: Introduction to Convolutional Neural Networks
|
Participated in
DataHour: Visualizing Insights: Understanding Data Visualization Techniques
|
Participated in
DataHour: Creating Advanced & Large-Scale Recommendation System
|
Participated in
DataHour: Building a Simple LLM Application: ChatGPT Summarizer
|
Participated in
DataHour: Building Safe AI Experiences with Azure AI Content Safety
|
Participated in
DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning
|
Participated in
DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps
|
Participated in
DataHour: Crafting and Implementing a GenAI Strategy with StratOps
|
Participated in
DataHour: ML Based Manufacturing Quality Inspection
|
Participated in
DataHour: Generative AI / LLMs using Databricks Data Intelligence Platform
|
Participated in
DataHour: Introduction to Time Series Analysis
|
Participated in
Twitter Sentiment Analysis
|
Participated in
Identify the Sentiments
|
Participated in
Football Hackathon
|
Participated in
DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning
|
Participated in
DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
|
Participated in
DataHour: LLMOps - MLOps for Generative AI
|
Participated in
DataHour: Harnessing LLMs: Exploring Controllable Text Generation Without Fine-Tuning
|
Participated in
DataHour: Custom GPTs in Industry: Assessing GPT-4V
|
Participated in
DataHour: LLMs in Action: Crafting a Winning Product Strategy
|
Participated in
DataHour: Large Language Models- Evolution, Challenges and Way Forward
|
Participated in
DataHour: Multi-Modal RAG and Evaluation with LlamaIndex
|
Participated in
DataHour: NoSQL: Leveraging Large Language Models for Text2SQL
|
Participated in
DataHour: Democratising AI Deployment
|
Participated in
DataHour: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0
|
Participated in
Ripik.AI HackFest: Unleashing AI Potential
|
Participated in
DataHour: Medical-Chat Bot: The History of Our Attempt
|
Participated in
DataHour: Machine Learning Tips and Tricks
|
Participated in
DataHour: Elevating Business Transformation: Leveraging Retrieval Augmented Generation (RAG)
|
Participated in
DataHour: Building Useful Applications with LLMs
|
Participated in
DataHour: Create a Language to SQL Translator with LLM
|
Participated in
DataHour: Overview of Latent Diffusion, Stable Diffusion 1.5, & Challenges with SD 1.5
|
Participated in
DataHour: Production Stack for LLMs
|
Participated in
DataHour: Era of AI-Assisted Innovation
|
Participated in
DataHour: Building Multi-Stage Reasoning Systems with LangChain
|
Participated in
DataHour: Securing LLM-Based Applications
|
Participated in
DataHour: The Dangers of Dirty Data
|
Participated in
DataHour: BUILDING CHATBOTS USING LLM
|
Participated in
DataHour: The Generative AI, Good & Bad with Real World Examples
|
Participated in
DataHour: NLP Tasks Chaining with GenAI: How to Utilize Traditional NLP Knowledge in the World of LLMs?
|
Participated in
DataHour: LLMs and Foundational Models in Ads Personalization
|
Participated in
DataHour: Harnessing the Power of LLMs: A Deep Dive into Practical Solutions
|
Participated in
DataHour: Business Intelligence with Microsoft Power BI
|
Participated in
Phir Ek Mauka Hack: Ind vs Pak Cricket Hackathon
|
Participated in
DataHour: Building Complex Systems Using ChatGPT
|
Participated in
DataHour: Advanced Generative AI and Data Storytelling
|
Participated in
DataHour: The 3 Secrets to Giving a Great Data Presentation
|
Participated in
DataHour: Crash Course on Data Visualization with Power BI
|
Participated in
DataHour: Generative AI: The Responsible Path Forward
|
Participated in
DataHour: Chat With Your Data- Dive into GPT Langchain LLM Framework
|
Participated in
DataHour: Efficient Fine-Tuning of LLMs on single T4 GPU using Ludwig
|
Participated in
DataHour: From Text to Video: Unraveling the Power and Pitfalls of Generative AI
|
Participated in
DataHour: Unleashing Generative AI in Data Analytics
|
Participated in
DataHour: The Ethical Frontiers of Generative AI
|
Participated in
DataHour: Crafting Text-Based Conversations: Leveraging VertexAI, Langchain, and Streamlit
|
Participated in
DataHour: How to Build a Generative AI Application?
|
Participated in
DataHour: Applications of Data Science in Pricing
|
Participated in
DataHour: Explainable AI: Demystifying the Black Box Models
|
Participated in
DataHour: RAG to Reduce LLM Hallucination
|
Participated in
DataHour: Demystifying Computer Vision
|
Participated in
GenAI Meetup: Chennai Chapter
|
Participated in
GenAI Meetup:Hyderabad Chapter
|
Participated in
GenAI Meetup: Bangalore Chapter
|
Participated in
DataHour: Using Clinical Data Science to Improve Clinical Outcomes
|
Participated in
DataHour: How LLMs Can Be Used in Day-to-Day Developer Tasks
|
Participated in
DataHour: Azure Bot Services: Transforming Conversational AI for Enhanced Experiences
|
Participated in
DataHour: Supercharging LLM API Development with Fast API
|
Participated in
DataHour: The Future of Autonomous Systems and How Humans Fit In
|
Participated in
DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs
|
Participated in
DataHour: Generative AI- Training Pipelines and Advanced Strategies
|
Participated in
DataHour: Era of Gen AI
|
Participated in
DataHour: Master the Art of Prompting with Generative AI for Real-World Business Solutions
|
Participated in
DataHour: Diffusion Model Fundamentals and Various Applications
|
Participated in
DataHour: Exploring Extended Reality- Going Beyond the Basics
|
Participated in
DataHour: Exploring the Potential of Generative AI
|
Participated in
DataHour: Attention From Scratch
|
Participated in
DataHour: Mastering Sentiment Analysis through Generative AI: A Deep Dive
|
Participated in
DataHour: Dreambooth- Stable Diffusion for Custom Images
|
Participated in
DataHour: Training Your Own LLM Without Coding
|
Participated in
DataHour: Introduction of Microsoft Fabric
|
Participated in
DataHour: Application of Data Science in the world of FinTech
|
Participated in
DataHour: LLM Fine Tuning with PEFT Techniques
|
Participated in
DataHour: Cutting Edge Tricks of Applying Large Language Models
|
Participated in
DataHour: Evaluation of GenAI Models and Search Use Case
|
Participated in
GenAI Meetup: Large Language Models
|
Participated in
DataHour: Building Large Language Models for Code
|
Participated in
DataHour: Quantum Computing Applications in Financial Industry
|
Participated in
DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
|
Participated in
Data Science Blogathon - 35
|
Participated in
Gen AI Meetup: Demystifying LLMs - Prompting and Applications in Data Science
|
Participated in
Data Science Blogathon - 30
|
Participated in
Mini Datahack
|
Participated in
Mini Hack : Strategic Thinking
|
Participated in
DATA TALES – Beyond Infinity (Round 1: Machine Learning Competition by Great Lakes Institute of Management)
|
Participated in
AVdatafest : The Seer's Accuracy
|
Participated in
McKinsey Hiring Hack
|
Participated in
AVdatafest : The Creative Analyst
|
Participated in
Mini Hack : Data Visualization
|
Participated in
Re-Date Your Data: Learning Contest
|
Participated in
Date Your Data
|
Participated in
Mini DataHack
|
Participated in
LNMIIT DataHack
|
Participated in
Praxis Data Hackathon
|
Participated in
Black Friday Data Hack
|
Participated in
H2O world
|
Participated in
DATA TALES – Beyond Infinity (Great Lakes Institute of Management, Chennai)
|
Participated in
The D Hack
|
Participated in
Felicity : Kings of Machine Learning
|
Participated in
LearnUp - Learn Data Science From Scratch
|
Participated in
Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad)
|
Participated in
McKinsey Analytics Online Hackathon- Recommendation Design
|
Participated in
Student Hunt 2017
|
Participated in
Recommendation Engine
|
Participated in
[Student DataFest 2018] Skilltest - Decision Trees and K-Means
|
Participated in
Numerolysis (By iQ’oniQ – The Quant, Logic and Analytics Club, NMIMS Hyderabad)
|
Participated in
Establishing Your Data Science Career Abroad (Hyderabad Meetup)
|
Participated in
AV LearnUp Bengaluru : Data Science in Finance
|
Participated in
Knocktober 2016
|
Participated in
The Strategic Saviour
|
Participated in
Skilltest: Tree Based Algorithms
|
Participated in
Skilltest: Regression
|
Participated in
Skilltest: SQL
|
Participated in
Skilltest: SAS
|
Participated in
Practice Problem: Skilltest - Machine Learning
|
Participated in
Blogathon 3
|
Participated in
Operations Research: Big Buck Challenge by IEOR @ IITB & McKinsey Knowledge Center India
|
Participated in
AV Express Online: Kickstart your Data Science career (Webinar)
|
Participated in
#AVdatafest PowerTool: SQL
|
Participated in
#AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
|
Participated in
#AVdatafest Webinar: Use of Analytics in Insurance Industry
|
Participated in
#AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics
|
Participated in
DataCon - Big Data Analytics Workshop | Hyderabad
|
Participated in
AV LearnUp Chennai: NLP and its Application in Social Media Analytics
|
Participated in
Age Detection of Actors
|
Participated in
AV Experts Meet Bengaluru (Advanced ML Problem Solving)
|
Participated in
Blogathon
|
Participated in
AV Experts Meet Delhi NCR (Advanced ML Problem Solving)
|
Participated in
Webinar: Automated Machine Learning using MLBox python package
|
Participated in
Webinar on Information retrieval from unstructured text at scale using advanced deep learning
|
Participated in
[Delhi NCR] Meetup on Careers in Analytics by ISB and Analytics Vidhya
|
Participated in
Strategic Sprint
|
Participated in
Skilltest: Deep Learning
|
Participated in
Skilltest: Ensemble Modeling
|
Participated in
AV Express: Kickstart your Data Science career (Delhi NCR)
|
Participated in
Strategic Sprint Mar 2017
|
Participated in
Webinar: Business Analytics Vs Data Science
|
Participated in
#AVdatafest Launch Party & Panel Discussion
|
Participated in
#AVdatafest PowerTool: Python for Data Science
|
Participated in
#AVdatafest Webinar: Use of Analytics in Telecom Industry
|
Participated in
#AVdatafest Webinar: Information Discovery & Intelligence Generation in Life Sciences
|
Participated in
#AVdatafest Webinar: Role of Spark in Big Data and Analytics
|
Participated in
#AVdatafest Webinar: Tips For Securing Funding For Analytics Start-Up
|
Participated in
Delhi NCR Meetup: Banking 2020 - An Analytics Perspective (Nagarro)
|
Participated in
AV LearnUp Bengaluru: Marketing & Social Media Analytics
|
Participated in
AV LearnUp Mumbai: Marketing Analytics in Banking & Finance
|
Participated in
Skilltest: NLP
|
Participated in
Skilltest: Linear Regression
|
Participated in
Webinar : How to crack Big Data & Data Science roles
|
Participated in
Skilltest: Tree Based Models
|
Participated in
Skilltest: k-Nearest Neighbor (kNN)
|
Participated in
Webinar on Machine Learning & Advanced Analytics for Smart Cities
|
Participated in
AV LearnUp Bengaluru: Data Science in Healthcare
|
Participated in
Webinar on AI - The Secret Sauce of Logistics
|
Participated in
AV LearnUp Chennai: Exploratory Data Analysis
|
Participated in
Know Show: Article Writing Competition by NMIMS, Hyderabad
|
Participated in
Webinar: Data Science vs Big Data vs Business Analytics (Choosing the right career track)
|
Participated in
Skilltest: Machine Learning
|
Participated in
Internship Challenge Round 2- Analytics Vidhya (Data Science)
|
Participated in
Skilltest: Clustering
|
Participated in
Webinar: Future of Big Data & Career Opportunities in Big Data World
|
Participated in
AV Express: Kickstart your Data Science career (Mumbai)
|
Participated in
AV Express: Kickstart your Data Science career (Chennai)
|
Participated in
#AVdatafest SkillPower: Deep Learning
|
Participated in
The Strategic Ball
|
Participated in
#AVdatafest PowerTool: R for Data Science
|
Participated in
#AVdatafest Rise of the Hero: Write Your Story
|
Participated in
#AVdatafest The Mightiest Pen : Blogging Competition
|
Participated in
#AVdatafest SkillPower: Time Series
|
Participated in
DataFest Closing Ceremony
|
Participated in
Webinar: New Age Skills for New Age Data Scientists
|
Participated in
Skilltest: Deep Learning
|
Participated in
Skilltest: Logistic Regression
|
Participated in
AV LearnUp Mumbai: Exploratory Data Analysis
|
Participated in
AV LearnUp Hyderabad: Exploratory Data Analysis
|
Participated in
AV Experts Meet Mumbai (Advanced ML Problem Solving)
|
Participated in
Webinar: Building products in the AI era
|
Participated in
Practice Problem: Strategic Thinking II
|
Participated in
Blogathon 2
|
Participated in
Data Science Interview Preparation Test
|
Participated in
What's your story?
|
Participated in
Internship Challenge - Analytics Vidhya (Web Development)
|
Participated in
Internship Challenge - Analytics Vidhya (Data Science)
|
Participated in
AV Express: Kickstart your Data Science career (Bengaluru)
|
Participated in
#AVdatafest SkillPower: Machine Learning
|
Participated in
#AVdatafest SkillPower: Probability
|
Participated in
#AVdatafest: The Strategic Thor
|
Participated in
#AVdatafest DATAHACK HOUR
|
Participated in
#AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
|
Participated in
Webinar: Mission 2020, The future of careers in Machine Learning
|
Participated in
AV LearnUp Hyderabad: Marketing & Social Media Analytics
|
Participated in
AV Experts Meet Hyderabad (Advanced ML Problem Solving)
|
Participated in
Fireside Chat with DJ Patil (Delhi NCR)
|
Participated in
Webinar: Can non programmers join Big Data and Data Science roles?
|
Participated in
Identify the Digits (MNIST)
|
Participated in
Black Friday Sales Prediction
|
Participated in
Time Series Forecasting
|
Participated in
Practice Problem: Urban Sound Classification
|
Participated in
[Student DataFest 2018] Skilltest - Ensemble Learning
|
Participated in
Machine Learning at Scale to Power Businesses (Bengaluru Meetup)
|
Participated in
WNS Analytics Wizard 2018 (Machine Learning Hackathon)
|
Participated in
Scaling AI To Build Intelligent World (Gurgaon Meetup)
|
Participated in
Webinar : How to Become a Data Scientist in 2019
|
Participated in
[Student DataFest 2018] Skilltest - Python for Data Science
|
Participated in
The Bots Are Here (Bengaluru Meetup)
|
Participated in
[Student DataFest 2018] Skilltest - Statistics and Probability
|
Participated in
Big Break in Big Data: Sapient Talent Hunt for Data Engineers
|
Participated in
Identify the apparels (Fashion MNIST)
|
Participated in
Joke Rating Prediction
|
Participated in
Webinar on Careers in Artificial Intelligence: How to prepare for the future
|
Participated in
[Student DataFest 2018] Skilltest - Intro to Machine Learning
|
Participated in
New Frontiers In Deep Learning, (Meetup: Bangalore)
|
Participated in
Rise of the Machines ( Meetup - Hyderabad)
|
Participated in
HerTech Hackathon
|
Participated in
#AVdatafest Xtreme ML Hack : Machine Learning Hackathon
|
Participated in
Genpact Machine Learning Hackathon
|
Participated in
MLWARE 1 - Text Mining Challenge
|
Participated in
MLWARE 2 - Recommendation Challenge
|
Participated in
MiniHack: Machine Learning
|
Participated in
The Ultimate Student Hunt
|
Participated in
Student DataFest 2018: The Data Supremacy
|
Participated in
Experiments With Data
|
Participated in
The Smart Recruits
|
Participated in
Food Demand Forecasting
|
Participated in
H2O Open Tour NYC Hackathon
|
Participated in
Innoplexus Online Hackathon: Machine Learning Challenge
|
Participated in
#chAI: AI in Finance (Bengaluru Meetup)
|
Participated in
Webinar: How to crack analytics and machine learning interviews at campus placements?
|
Participated in
Data Science All Hands (Delhi NCR Meetup)
|
Participated in
Data Science Hackathon: Churn Prediction
|
Participated in
Tredence (SQL Hackathon): Hack and Get Hired
|
Participated in
Enabling The Future Of AI (Chennai Meetup)
|
Participated in
Student DataFest 2018: The Data Identity
|
Participated in
Practice Problem: Intel Scene Classification Challenge
|
Participated in
McKinsey Analytics Online Hackathon
|
Participated in
Data Science Hackathon - Cross-sell: target the right customer
|
Participated in
Click Prediction Hackathon
|
Participated in
Webinar: Accelerate Deep Learning Inference using OpenVINO Toolkit
|
Participated in
Codefest: Linguipedia
|
Participated in
Codefest: Enigma
|
Participated in
Data & Beyond - IIM Bangalore 2017
|
Participated in
Fractal Analytics Hiring Hackathon
|
Participated in
#AVdatafest The QuickSolver : Machine Learning Mini-Hack
|
Participated in
Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
|
Participated in
Webinar: Introduction to TensorFlow with Intel Optimizations
|
Participated in
Hyper Connected World: The AI IMPACT (Hyderabad Meetup)
|
Participated in
The Convergence of BIG DATA and Machine Learning (Mumbai Meetup)
|
Participated in
Capillary Machine Learning Hackathon
|
Participated in
AmExpert 2018 (Machine Learning Hackathon)
|
Participated in
Webinar How to Get Started with your Data Science Career
|
Participated in
Community Meet: Rise of Super AI (Hyderabad Chapter)
|
Participated in
The Convergence of BIG DATA and Machine Learning (Pune Meetup)
|
Participated in
Webinar: How to Get Started with Natural Language Processing (NLP)
|
Participated in
Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
|
Participated in
McKinsey Analytics Online Hackathon
|
Participated in
HR Analytics
|
Participated in
Face Counting Challenge
|
Participated in
Predict Number of Upvotes
|
Participated in
Innoplexus Online Hiring Hackathon: Saving lives with AI
|
Participated in
India ML Hiring Hackathon 2019
|
Participated in
Webinar: Deep Learning and its Applications
|
Participated in
Delhi Meetup: Mining Networks by Hike
|
Participated in
ML Hikeathon (An Online Machine Learning Hackathon)
|
Participated in
Intel AI Enterprise Meetup - Bengaluru (Invite-Only)
|
Participated in
WNS Analytics Wizard 2019
|
Participated in
Big Mart Sales Prediction
|
Participated in
Club Mahindra DataOlympics
|
Participated in
Webinar: Build a Recommendation Engine for Retail Data
|
Participated in
Intel AI Enterprise Meetup - Mumbai (Invite-Only)
|
Participated in
QuantumBlack Hackathon
|
Participated in
Webinar: Problem Solving using AI - The QuantumBlack Story
|
Participated in
LTFS Data Science FinHack ( ML Hackathon)
|
Participated in
Webinar: Getting Started with Recommendation Engines
|
Participated in
Community Meet: Rise of Super AI (Chennai Chapter)
|
Participated in
Webinar: Streaming Analytics - Future of Every Application
|
Participated in
Skilltest: Dimensionality Reduction
|
Participated in
How to become a Data Scientist in 180 days?
|
Participated in
Live Session: Data Science Immersive Bootcamp
|
Participated in
AmExpert 2019 – Machine Learning Hackathon
|
Participated in
AV Experts Meet Chennai (Advanced ML Problem Solving)
|
Participated in
Webinar: Problem Solving In Business Analytics and Data Science
|
Participated in
Vishleshan
|
Participated in
Janata Hack - Machine Learning Hackathon to support Janata Curfew
|
Participated in
Experiments with Data
|
Participated in
Enigma codeFest Machine Learning
|
Participated in
Linguipedia codeFest Natural Language Processing
|
Participated in
VISTA codeFest Computer Vision
|
Participated in
McKinsey Analytics Online Hackathon - Healthcare Analytics
|
Participated in
ABInBev : Data Engineering Talent Hunt Hackathon
|
Participated in
ABInBev : Data Science Talent Hunt Hackathon
|
Participated in
Lord of the Machines: Data Science Hackathon
|
Participated in
The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
|
Participated in
DataHack Premier League 2018
|
Participated in
Analytics Vidhya Hiring Hackathon
|
Participated in
DataQuest - Data Science Hackathon (IIT Roorkee, Cognizance 2018)
|
Participated in
Machine Learning Huddle: Hyderabad Meet-Up
|
Participated in
AV LearnUp Mumbai: HR Analytics
|
Participated in
WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
|
Participated in
Webinar: Introduction to Qlik Sense
|
Participated in
Webinar: Using AI as Prediction Machines
|
Participated in
Webinar: Business Analytics Isn't Just About Model Building
|
Participated in
Webinar: Career Transition Into Data Science
|
Participated in
Webinar: Storytelling using Visualizations
|
Participated in
Webinar: Going Beyond your First ML Project
|
Participated in
JanataHack: Machine Learning for IoT
|
Participated in
Share & Empower
|
Participated in
HackLive 4: Guided Community Hackathon!
|
Participated in
Webinar: DS Careers – Which Role to go for?
|
Participated in
Webinar: How to Deploy your ML Model?
|
Participated in
Webinar: How early-stage start-ups can use AI & ML
|
Participated in
Webinar: An Introduction to Transfer Learning in NLP using HuggingFace
|
Participated in
Webinar: Need of Industry Exposure in learning and applying the practical aspects of Data Science
|
Participated in
Webinar: Getting Industry-Ready For Top Data Science Jobs
|
Participated in
Webinar: Beyond forecasting and predictions - Using Machine Learning to Control Real-World Systems
|
Participated in
Webinar: ML Model Building & Deployment
|
Participated in
Game of Deep Learning: Computer Vision Hackathon
|
Participated in
McKinsey Analytics Online Hackathon - Sales Excellence
|
Participated in
Data Science Blogathon
|
Participated in
Webinar: Build your first BI Report with Power BI
|
Participated in
HackLive 2 - Guided Community Hackathon!
|
Participated in
Webinar: Data Science vs. Data Engineering - Can you really separate them?
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Participated in
Webinar: With AI Dominating, How Secure is your Career?
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Participated in
Data Science Blogathon II
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Participated in
Webinar: Machine learning workflow in Julia
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Participated in
HackLive - Guided Community Hackathon!
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Participated in
Webinar: Getting Started with Natural Language Processing
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Participated in
Webinar: Introduction to Recommendation Systems using Deep Learning
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Participated in
Ascend Pro Webinar: Your Questions, Our Answers
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Participated in
Webinar: Securing ML Models in Production
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Participated in
Ascend Pro Webinar: Your Questions, Our Answers
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Participated in
DataHour: Artificial Intelligence in Retail
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Participated in
Machine Learning Summer Training Hackathon
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Participated in
DataHour: Build and Operationalize your Machine Learning Model using Tableau Business Science
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Participated in
DataHour: How to Stay Relevant in the Booming World of AI?
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Participated in
DataHour: Next Leap - Data Science Adoption to Application
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Participated in
Webinar: Ascend Pro: Your Questions, Our Answers
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Participated in
DataHour: Text-Based Classification using Artificial Intelligence
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Participated in
How to Write Powerful Articles to Build your Data Science Profile
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Participated in
Panel Discussion: How to Ace DS Competitions?
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Participated in
DataHour: Real-world Applications of Data science
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Participated in
DataHour: Bias and Fairness in NLP
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Participated in
DataHour: Using Data Science Methodology to Assess Equity in Communication
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Participated in
DataHour: Evaluation Measures for Binary Classification
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Participated in
All India Data Science - Student Scholarship Test
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Participated in
How I Landed my Dream Data Science Job?
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Participated in
Data Science Masterclass - Designing your First Dashboard in Tableau
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Participated in
How to become a job-ready Data Scientist in 2021? Ask the student-mentor duo
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Participated in
How to become an industry-ready Data MASTERMIND in just 30 weeks?
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Participated in
Data Science Blogathon - 10
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Participated in
Ascend Pro - Student Scholarship Test
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Participated in
Student Scholarship Test
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Participated in
Roadmap to become full-stack data professional
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Participated in
How to get Industry Ready for Data Science Jobs?
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Participated in
DataHour: An Overview of Feature Engineering for Data Science
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Participated in
Data Science Blogathon - 13
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Participated in
Data Science Blogathon - 17
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Participated in
Hack4Retail by McKinsey & Company and Fozzy Group
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Participated in
DataHour: Lessons Learned from Hundreds of Machine Learning Projects
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Participated in
DataHour: Efficient Implementations of Transformers
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Participated in
DataHour: Building smarter solutions with no expertise in machine learning
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Participated in
Pre-Bootcamp : Experience Live Learning - Build your First ML Model
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Participated in
DataHour: Learning Path to Master Data Engineering in 2022
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Participated in
Data Science Blogathon - 19
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Participated in
DataHour: Build your first Chat-bot using Open Source Tools
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Participated in
DataHour: Create Effective Data Science Notebooks and Communication
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Participated in
Pre-Bootcamp : Experience Live Learning - Perform Data Analysis using SQL!
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Participated in
DataHour: Making Sense of Clinical Text Data at Scale with NLP
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Participated in
DataHour: Traversing the Journey of an Analytics Problem
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Participated in
DataHour: Computer Vision Landscape
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Participated in
Janatahack: Cross-sell Prediction
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Participated in
DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
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Participated in
DataHour: Understanding Search Query
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Participated in
DataHour: Introduction to Blockchain
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Participated in
DataHour: Data Science in a FAANG company!
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Participated in
DataHour: How to transition into Data Science?
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Participated in
DataHour: Introduction to Image Processing using Python
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Participated in
PreBootcamp - Build your first Industry Dashboard with PowerBI
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Participated in
DataHour: Ask Kunal Anything About AI
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Participated in
Skill Test: Python for Data Science
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Participated in
DataHour: Introduction to Tensorflow Javascript
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Participated in
DataHour: Causal Inference in Practice
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Participated in
DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
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Participated in
DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
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Participated in
DataHour: Introduction to MLOps
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Participated in
DataHour: Improving Search Results with Semantic Search
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Participated in
DataHour: Deploying Deep Learning model to production using FastAPI & Docker
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Participated in
Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
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Participated in
DataHour: Introduction to Interpretable Machine Learning
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Participated in
DataHour: Introduction to Network Science
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Participated in
DataHour: Building NLP applications using Hugging Face
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Participated in
DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
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Participated in
DataHour: Hands-on with Social Network Analysis
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Participated in
DataHour: Deep Dive into Graph Neural Nets for Content NLP
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Participated in
DataHour: Building AI Applications in Minutes
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Participated in
DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
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Participated in
DataHour: Everything you need to know about Speech Recognition
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Participated in
DataHour: Deep Learning - Maths Behind Back-Propagation
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Participated in
DataHour: An Introduction and Hands-On to Named Entity Recognition
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Participated in
Data Science Blogathon - 23
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Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
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Participated in
DataHour: Introduction to Optimization Problems for Data Scientists
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Participated in
DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
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Participated in
DataHour: Data Visualization using Python
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Participated in
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
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Participated in
DataHour: Analyzing Movie Data using MongoDB
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Participated in
DataHour: Introduction to Explainable AI (XAI)
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Participated in
DataHour: Think like a Data Scientist
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Participated in
DataHour: Quantum Computing Simulator Acceleration
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Participated in
DataHour: Leveraging GCP Vertex AI for Machine Learning
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Participated in
DataHour: MLOps—DevOps for Machine Learning
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Participated in
DataHour: Trees of Data Science
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Participated in
DataHour: Stirring up Data Science with SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: Deep Dive into Practical Machine Learning with Career Insights
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Participated in
DataHour: Dynamic Time Warping for Time Series Classification
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Participated in
DataHour: Data Operations on Azure
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Participated in
DataHour: Jumpstart your Career with AWS AI/ML
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Participated in
DataHour: Introduction to GAN - A Practical Approach
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Participated in
DataHour: Nirvana State of MLOps
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Participated in
DataHour: Product Oriented Data Scientists
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Participated in
DataHour: Mitigating Bias in Machine Learning
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Participated in
DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
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Participated in
DataHour: Forecasting Stories
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Participated in
DataHour: Data Science Data management using Pandas
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Participated in
DataHour: Data Science in Retail
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Participated in
DataHour: Anomaly detection using NLP and Predictive Modeling
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Participated in
DataHour: Google Cloud AI/ML
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Participated in
DataHour: Energy Data Science - Project From Scratch
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Participated in
DataHour: Getting Started with EDA tools - Numpy and Pandas
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Participated in
DataHour: Practical Applications of Data science in Ecommerce
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Participated in
DataHour: How to tackle Overfitting?
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Participated in
DataHour: Explainable AI - Need and Implementation
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Participated in
DataHour: Hands-on with A/B Testing
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Participated in
DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
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Participated in
DataHour: The Fundamentals of Quantum Computing
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Participated in
DataHour: Building Data Pipelines on GCP
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Participated in
DataHour: Modern Deep Learning Architecture
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Participated in
DataHour: 5 things you should know about Azure SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: ETL Pipelines in GCP
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Participated in
DataHour: Practical Time Series Analysis
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Participated in
DataHour: Building Machine Learning Models in BigQuery
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Participated in
DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
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Participated in
DataHour: AI & ML in the Automotive Industry
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Participated in
DataHour: DCNN for Machine RUL Prediction using Time-series Data
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Participated in
DataHour: A Day in the Life of a Data Scientist
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Participated in
DataHour: Classification ML Model from Scratch
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Participated in
DataHour: NLP aspects in Telecommunication Industry
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Participated in
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
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Participated in
DataHour: Knowledge Graph Solutions using Neo4j
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Participated in
DataHour: Visualizing Data using Python
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Participated in
DataHour: Getting Started with AWS EC2
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Participated in
DataHour: Model Guesstimation (MLOps)
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Participated in
Telstra Innovation Hackathon 2022
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Participated in
DataHour: M in ML stands for Math & Magic
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Participated in
DataHour: An Unsupervised ML approach using Clustering
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Participated in
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
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Participated in
DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
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Participated in
DataHour: Extracting Value from Data
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Participated in
DataHour: Convolution Neural Network for Image Recognition
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Participated in
DataHour: AI in Banking
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Participated in
DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
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Participated in
DataHour: Data Engineering with Databricks
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Participated in
DataHour: Ensemble Techniques in Machine Learning
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Participated in
DataHour: Artificial Intelligence Approach in Stock Market Analysis
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Participated in
DataHour: An Introduction to Measuring Marketing Channel Effectiveness
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Participated in
DataHour: Introduction to Federated Learning
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Participated in
DataHour: From Unstructured Text to Insights - Topic Modeling in NLP using LDA
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Participated in
DataHour: Introduction to Classification using Azure Machine Learning
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Participated in
DataHour: AI/ML Era in Customer Experience (CX)
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Participated in
DataHour: Making AI work for Business
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Participated in
A Practical Approach to Kaggle Competition
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Participated in
DataHour: Diffusion Models for Generative Arts
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Participated in
DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
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Participated in
Dataverse Hack: Build an AI Model to Save Lives
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Participated in
DataHour: Exploratory Data Analysis with F#
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Participated in
DataHour: How to Approach an ML Problem Statement from Scratch
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Participated in
DataHour: Causal Experimentations - When A/B Test is Not Possible
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Participated in
DataHour: The Art of Feature Engineering
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Participated in
DataHour: Hypothesis Testing A-Z
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Participated in
DataHour: Document Understanding and OCR using Transformers
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Participated in
DataHour: Introduction and Hands-on workshop with Reinforcement Learning
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Participated in
DataHour: Product Based Case Studies for Data Science Interviews
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Participated in
DataHour: Data Science Use Cases
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Participated in
DataHour: Need for Self Supervised Learning - Practice at SAP
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Participated in
AmExpert decipHER – Women Machine Learning Hackathon
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Participated in
DataHour: Road to Data Science
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Participated in
DataHour: Introduction to Positive Unlabelled(PU) Learning
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Participated in
DataHour: Customer Data Science Models - Retail and CPG
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Participated in
DataHour: Applications of Machine Learning in Self Driving Cars
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Participated in
DataHour: Understanding the Basics of a Neural Network
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Participated in
DataHour: Diving into the field of Data Analytics
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Participated in
DataHour: How to start your Kaggle journey?
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Participated in
DataHour: Practical Hypothesis Testing
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Participated in
Dataverse Hack
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Participated in
DataHour: Steps before using an ML Model
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Participated in
DataHour: Statistics in Data Science
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Participated in
DataHour: Understanding Dimensionality Reduction
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Participated in
DataHour: Data Science Use Cases - Part 2
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Participated in
DataHour: An Empathetic AI for Healthcare
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Participated in
DataHour: GANs Revolutionizing the World!
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Participated in
DataHour: Data Warehouse and its importance in Data World
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Participated in
DataHour: HIV Analysis using ML and Flutter
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Participated in
DataHour: Churn Analytics in Telcos
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Participated in
DataHour: An Introduction to Extended Reality (XR)
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Participated in
DataHour: Python Data Structures
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Participated in
DataHour: SQL - Intermediate to Advanced
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Participated in
Query Domain Classification
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