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Participated in
The Smart Recruits
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Participated in
McKinsey Analytics Online Hackathon
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Participated in
#AVdatafest SkillPower: Time Series
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Participated in
#AVdatafest: The Strategic Thor
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Participated in
#AVdatafest SkillPower: Machine Learning
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Participated in
Date Your Data
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Participated in
#AVdatafest SkillPower: Probability
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Participated in
Student DataFest 2018: The Data Identity
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Participated in
Mini DataHack
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Participated in
MLWARE 1 - Text Mining Challenge
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Participated in
#AVdatafest SkillPower: Deep Learning
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Participated in
#AVdatafest The QuickSolver : Machine Learning Mini-Hack
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Participated in
#AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
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Participated in
MiniHack: Machine Learning
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Participated in
Skilltest : R for Data Science
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Participated in
DataHour: Building Robust RAG Applications for the Real-World
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Participated in
#AVdatafest Xtreme ML Hack : Machine Learning Hackathon
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Participated in
Skilltest: Regression
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Participated in
MLWARE 2 - Recommendation Challenge
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Participated in
Mini Datahack
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Participated in
GenAI Meetup: Bangalore Chapter
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Participated in
DataHour: RAG to Reduce LLM Hallucination
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Participated in
DataHour: Demystifying Computer Vision
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Participated in
DataHour: Using Clinical Data Science to Improve Clinical Outcomes
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Participated in
DataHour: How LLMs Can Be Used in Day-to-Day Developer Tasks
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Participated in
DataHour: Azure Bot Services: Transforming Conversational AI for Enhanced Experiences
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Participated in
DataHour: Supercharging LLM API Development with Fast API
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Participated in
DataHour: The Future of Autonomous Systems and How Humans Fit In
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Participated in
DataHour: Generative AI- Training Pipelines and Advanced Strategies
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Participated in
DataHour: Era of Gen AI
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Participated in
DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs
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Participated in
DataHour: Master the Art of Prompting with Generative AI for Real-World Business Solutions
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Participated in
DataHour: Diffusion Model Fundamentals and Various Applications
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Participated in
DataHour: Exploring Extended Reality- Going Beyond the Basics
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Participated in
DataHour: Exploring the Potential of Generative AI
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Participated in
DataHour: Attention From Scratch
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Participated in
DataHour: Mastering Sentiment Analysis through Generative AI: A Deep Dive
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Participated in
DataHour: Dreambooth- Stable Diffusion for Custom Images
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Participated in
DataHour: Training Your Own LLM Without Coding
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Participated in
DataHour: Introduction of Microsoft Fabric
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Participated in
DataHour: Application of Data Science in the world of FinTech
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Participated in
DataHour: LLM Fine Tuning with PEFT Techniques
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Participated in
DataHour: Cutting Edge Tricks of Applying Large Language Models
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Participated in
DataHour: Evaluation of GenAI Models and Search Use Case
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Participated in
DataHour: Building Large Language Models for Code
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Participated in
DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
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Participated in
DataHour: Quantum Computing Applications in Financial Industry
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Participated in
DataHour: Practical Guide to Train Your Own Large Language Models
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Participated in
DataHour: Using Langchain with LLM
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Participated in
DataHour: Paying Attention to Attention - A Deep Dive into Attention Models
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Participated in
DataHour: GEN AI - Image to Image Generation
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Participated in
DataHour: Unlocking Language Model Potential - The Power of Prompt Engineering
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Participated in
AMA: Generative AI & Career in Data Science / Data Analytics
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Participated in
DataHour: Introduction to LLMs: An Interactive Workshop
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Participated in
GANs- Explore the Boundaries of Generative Art
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Participated in
LangChain in Action: Crafting Innovative LLM Powered Applications
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Participated in
DataHour: Generative AI with LLMs
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Participated in
DataHour: Building Trust, Ethics and Privacy in Generative AI & LLM
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Participated in
DataHour: Generative AI using Azure Open AI
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Participated in
DataHour: Generative AI - Midjourney, Code Generation & Beyond
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Participated in
DataHour: Reducing chatGPT Hallucinations by 80%
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Participated in
DataHour: Building Bridges - The Art of Prompt Engineering
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Participated in
DataHour: LlamaIndex - QA Systems with Private Data and Effective Evaluation
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Participated in
DataHour: Handling Satellite and Geospatial Raster Data in Python
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Participated in
DataHour: Titanic Machine Learning Case Study using Python
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Participated in
DataHour: Statistics with Python for Data Science
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Participated in
DataHour: ChatGPT in Python for Beginners
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Participated in
DataHour: An Overview of Generative AI
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Participated in
DataHour: Exploring Dimensionality Reduction
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Participated in
DataHour: What do Hiring Managers Look for in Data Scientists?
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Participated in
DataHour: Generative AI and Large Language Models
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Participated in
DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)
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Participated in
DataHour: Web Scraping using Python Libraries
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Participated in
DataHour: Fine Tuning NLP Pipeline on Hugging Face
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Participated in
DataHour: A Beginner's Guide to Natural Language Processing
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Participated in
DataHour: An Overview of Named Entity Recognition(NER)
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Participated in
DataHour: Introduction to Social Network Analysis
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Participated in
DataHour: How to Become an AI/ML Cloud Architect?
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Participated in
DataHour: Understanding Logistic Regression and Decision Tree Analysis
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Participated in
DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
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Participated in
DataHour: Build Your Career in Data Analytics
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Participated in
DataHour: An Introduction to Machine Learning with Sequence Data
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Participated in
DataHour: FIFA World Cup Match Analysis Using Python
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Participated in
DataHour: Getting Started with Python
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Participated in
DataHour: Generating Labeled Data through Weak Supervision
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Participated in
DataHour: Feature Engineering and Selection for Machine Learning
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Participated in
DataHour: Best of Pandas & The Power of Simple Models
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Participated in
DataHour: Conversational Intelligence & Interactive Bots
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Participated in
DataHour: Transformers from Scratch
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Participated in
DataHour: Machine Learning on Live Streaming Data for AIOps
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Participated in
DataHour: Evaluation Criteria for Validating Machine Learning Models
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Participated in
DataHour: Forecasting & Time-series Analysis
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Participated in
DataHour: An Introduction to POS Tagging and Hidden Markov Model
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Participated in
DataHour: Boosting Performance with Ensemble Methods
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Participated in
DataHour: Feature Engineering and benefits of EDA
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Participated in
DataHour: How to Start Your Career in Data Engineering with SQL and Python?
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Participated in
DataHour: Constructing Machine Learning Pipelines using Scikit-learn
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Participated in
DataHour: Mastering Guesstimate Interview Questions
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Participated in
DataHour: How to Start your Journey in Data Engineering?
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Participated in
DataHour: Document Segmentation using Layout Parser
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Participated in
DataHour: Transforming HR with People Analytics
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Participated in
DataHour: Application of ML Classification Techniques in Banking Industry
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Participated in
DataHour: How to Forecast New Product Launches using Data Centric Approach
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Participated in
DataHour: The Art of Using GPT3 Power
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Participated in
DataHour: Everything You Need to Know About Pandas
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Participated in
DataHour: Text Classification for Beginners
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Participated in
DataHour: Data Preparation and Feature Engineering in ML
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Participated in
DataHour: Unlocking the Power of Embeddings
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Participated in
DataHour: Exploring the World of AI and its Career Opportunities
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Participated in
DataHour: A/B testing - Theory, Practice and Pitfalls
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Participated in
DataHour: Understanding Graph Data Science
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Participated in
DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
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Participated in
DataHour: Salary Analysis and Prediction Using ML
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Participated in
DataHour: Data Wrangling Using Geospatial Data in Python
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Participated in
DataHour: Advanced Resume Shortlisting using NLP
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Participated in
DataHour: Diabetic Patients’ Readmission Prediction using ML
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Participated in
DataHour: No-code ML Hands-on using Orange Data Mining Tool
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Participated in
DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
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Participated in
AVdatafest : Experiments With Data
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Participated in
AV Casino : Introduction to Probability
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Participated in
Skilltest: Statistics II
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Participated in
Skilltest: Tree Based Algorithms
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Participated in
Blogathon 2
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Participated in
Data Science Interview Preparation Test
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Participated in
Operations Research: Big Buck Challenge by IEOR @ IITB & McKinsey Knowledge Center India
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Participated in
Skilltest: Dimensionality Reduction
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Participated in
Loan Prediction
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Participated in
Black Friday Data Hack
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Participated in
AVdatafest : The Seer's Accuracy
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Participated in
Big Mart Sales Prediction
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Participated in
Internship Challenge - Analytics Vidhya (Data Science)
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Participated in
Internship Challenge Round 2- Analytics Vidhya (Data Science)
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Participated in
Practice Problem: Skilltest - Machine Learning
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Participated in
#AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
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Participated in
AV LearnUp Hyderabad: Marketing & Social Media Analytics
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Participated in
Age Detection of Actors
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Participated in
Re-Date Your Data: Learning Contest
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Participated in
Experiments With Data
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Participated in
Skilltest: Statistics
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Participated in
Knocktober 2016
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Participated in
Skilltest: Machine Learning
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Participated in
The Strategic Monk
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Participated in
Internship Challenge - Analytics Vidhya (Web Development)
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Participated in
Skilltest: Clustering
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Participated in
#AVdatafest Webinar: Use of Analytics in Telecom Industry
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Participated in
#AVdatafest DATAHACK HOUR
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Participated in
Identify the Digits (MNIST)
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Participated in
Webinar on Information retrieval from unstructured text at scale using advanced deep learning
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Participated in
The D Hack
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Participated in
AVdatafest : The Creative Analyst
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Participated in
Skilltest: Ensemble Modeling
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Participated in
[Student DataFest 2018] Skilltest - Intro to Machine Learning
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Participated in
Webinar: How to crack Big Data & Data Science Role?
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Participated in
Mini Hack : Strategic Thinking
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Participated in
Experiments With Data
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Participated in
Mini Hack : Strategic Thinking
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Participated in
McKinsey Hiring Hack
|
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Participated in
DataHour: Natural Language Processing for Indian Languages
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Participated in
DataHour: Exploring Heart Disease Data using Python
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Participated in
DataHour: Application of ChatGPT and DALL-E
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Participated in
DataHour: Netflix Data Analysis using Python
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Participated in
DataHour: ChatGPT and the coming Generative AI Revolution
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Participated in
DataHour: Fine Tuning Generative Models
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Participated in
DataHour: Exploring the Best Book Sellers Dataset
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Participated in
DataHour: How to become the G.O.A.T of Data Science in 2023?
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Participated in
DataHour: Unfolding Model Evaluation Metrics in Machine Learning
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Participated in
DataHour: Transformer Architecture and its Applications
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Participated in
DataHour: NLP Interaction with Power BI
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Participated in
DataHour: Building and Operationalizing an Explainable Predictive Model
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Participated in
DataHour: Demystifying Clustering in Topic Modeling Algorithms like BERTopic
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Participated in
DataHour: How do Algorithms Generate Recommendations?
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Participated in
DataHour: Classification Algorithms Evaluation Metrics
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Participated in
DataHour: Advanced Exploratory Data Analysis on Credit Data
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Participated in
DataHour: Conversational AI and its Uses
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Participated in
DataHour: Exploring Multi-label & Multi-class Classification
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Participated in
DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
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Participated in
DataHour: Train GPT2 on Indian Language Dataset
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Participated in
DataHour: Data Science Career - Myths vs Truths
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Participated in
DataHour: Diabetes Prediction Using Survival Analysis
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Participated in
DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
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Participated in
DataHour: Analyzing Loan Application Data using Python
|
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Participated in
DataHour: Hyperparameter Optimization Demystified
|
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Participated in
DataHour: An Introduction to Natural Language Processing
|
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Participated in
DataHour: Introduction to Optimization using Genetic Algorithms
|
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Participated in
DataHour: Data Science for Business - From Theory to Practice
|
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Participated in
DataHour: Launch Your Career in Data Science
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Participated in
DataHour: Understanding Logistic Regression
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Participated in
DataHour: Anomaly Detection in Time Series Data
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Participated in
DataHour: Real-time Machine Learning - Challenges and Solution
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Participated in
DataHour: Experiments with Interpretable Artificial Intelligence
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Participated in
DataHour: Basic Concepts of Object Oriented Programming in Python
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