|
Participated in
DataHour: Demystifying Demand Forecasting for Retail Success
|
|
Participated in
DataHour: LLM Training Tips & Tricks
|
|
Participated in
DataHour: Unwritten Rules for Success in Machine Learning
|
|
Participated in
AmExpert 2019 – Machine Learning Hackathon
|
|
Participated in
Janatahack: Healthcare Analytics
|
|
Participated in
JanataHack: HR Analytics
|
|
Participated in
JanataHack: Time Series Forecasting
|
|
Participated in
JanataHack: Computer Vision Hackathon
|
|
Participated in
Skilltest: Logistic Regression
|
|
Participated in
Dataverse Hack
|
|
Participated in
JanataHack: Demand Forecasting
|
|
Participated in
WNS Analytics Wizard 2019
|
|
Participated in
Genpact Machine Learning Hackathon
|
|
Participated in
JanataHack: NLP Hackathon
|
|
Participated in
McKinsey Analytics Online Hackathon
|
|
Participated in
Dataverse Hack: Build an AI Model to Save Lives
|
|
Participated in
ML Hikeathon (An Online Machine Learning Hackathon)
|
|
Participated in
JanataHack: Mobility Analytics
|
|
Participated in
Linguipedia codeFest Natural Language Processing
|
|
Participated in
WNS Analytics Wizard 2018 (Machine Learning Hackathon)
|
|
Participated in
Enigma codeFest Machine Learning
|
|
Participated in
QuantumBlack Hackathon
|
|
Participated in
JanataHack: Machine Learning for Banking
|
|
Participated in
Innoplexus Online Hiring Hackathon: Saving lives with AI
|
|
Participated in
LTFS Data Science FinHack ( ML Hackathon)
|
|
Participated in
Janatahack: Customer Segmentation
|
|
Participated in
Club Mahindra DataOlympics
|
|
Participated in
AmExpert 2018 (Machine Learning Hackathon)
|
|
Participated in
Janatahack: Healthcare Analytics II
|
|
Participated in
LTFS Data Science FinHack 3
|
|
Participated in
Janatahack: Independence Day 2020 ML Hackathon
|
|
Participated in
JanataHack: Recommendation Systems
|
|
Participated in
JanataHack - E-Commerce Analytics ML Hackathon
|
|
Participated in
Janatahack: Machine Learning in Agriculture
|
|
Participated in
Skilltest: Tree Based Models
|
|
Participated in
Skilltest: k-Nearest Neighbor (kNN)
|
|
Participated in
DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
|
|
Participated in
DataHour: MemeGPT: Fine-Tuning LLMs to Generate Memes
|
|
Participated in
DataHour: Current and Best Practices for LLM Evaluation
|
|
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: Era of AI-Assisted Innovation
|
|
Participated in
DataHour: Production Stack for LLMs
|
|
Participated in
DataHour: Building Multi-Stage Reasoning Systems with LangChain
|
|
Participated in
DataHour: Securing LLM-Based Applications
|
|
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
DataHour: Building Complex Systems Using ChatGPT
|
|
Participated in
DataHour: The Dangers of Dirty Data
|
|
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
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: Exploring the Potential of Generative AI
|
|
Participated in
DataHour: Azure Bot Services: Transforming Conversational AI for Enhanced Experiences
|
|
Participated in
DataHour: The Future of Autonomous Systems and How Humans Fit In
|
|
Participated in
DataHour: Supercharging LLM API Development with Fast API
|
|
Participated in
DataHour: Master the Art of Prompting with Generative AI for Real-World Business Solutions
|
|
Participated in
DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs
|
|
Participated in
DataHour: Era of Gen AI
|
|
Participated in
GenAI Meetup:Hyderabad Chapter
|
|
Participated in
DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
|
|
Participated in
DataHour: Handling Satellite and Geospatial Raster Data in Python
|
|
Participated in
DataHour: Titanic Machine Learning Case Study using Python
|
|
Participated in
DataHour: Industrial Application of Large Language Models like ChatGPT
|
|
Participated in
DataHour: Statistics with Python for Data Science
|
|
Participated in
DataHour: Geospatial Data Analysis
|
|
Participated in
DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
|
|
Participated in
DataHour: Exploring Dimensionality Reduction
|
|
Participated in
DataHour: Web Scraping using Python Libraries
|
|
Participated in
DataHour: Exploratory Data Analysis using Matplotlib and Seaborn
|
|
Participated in
DataHour: Introduction to Social Network Analysis
|
|
Participated in
DataHour: Understanding Logistic Regression and Decision Tree Analysis
|
|
Participated in
DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
|
|
Participated in
DataHour: Deep Dive into Kubernetes and Concepts of Containerization
|
|
Participated in
DataHour: Unlocking Business Growth - The Power of Customer Segmentation
|
|
Participated in
DataHour: An Introduction to Machine Learning with Sequence Data
|
|
Participated in
DataHour: FIFA World Cup Match Analysis Using Python
|
|
Participated in
DataHour: Personalizing Demand Planning Using Scenario Analysis
|
|
Participated in
DataHour: Basics of Big Data File Formats
|
|
Participated in
DataHour: ChatGPT and the Future of NLP Systems
|
|
Participated in
DataHour: Comparative Analysis in Qlik Sense
|
|
Participated in
DataHour: Getting Started with Python
|
|
Participated in
DataHour: Implementing Gradient Descent in Python
|
|
Participated in
DataHour: Generating Labeled Data through Weak Supervision
|
|
Participated in
DataHour: Google Cloud Vertex AI Platform
|
|
Participated in
DataHour: Hands-on Journey to Neural Networks
|
|
Participated in
DataHour: Apache Airflow - An Open Source Workflow Manager
|
|
Participated in
DataHour: Data Availability Through Data Lake in Large Organization
|
|
Participated in
DataHour: How to Build a Multi Task Model using TensorFlow
|
|
Participated in
DataHour: Feature Engineering and Selection for Machine Learning
|
|
Participated in
DataHour: Deep Learning for Time Series Forecasting
|
|
Participated in
DataHour: Best of Pandas & The Power of Simple Models
|
|
Participated in
DataHour: Data Visualization in 3D with Unity 3D
|
|
Participated in
DataHour: Application of Data Science in Insurance Industry
|
|
Participated in
DataHour: Caching in Data Science
|
|
Participated in
DataHour: Machine Learning on Live Streaming Data for AIOps
|
|
Participated in
DataHour: Evaluation Criteria for Validating Machine Learning Models
|
|
Participated in
DataHour: Dataflow on Google Cloud
|
|
Participated in
DataHour: Forecasting & Time-series Analysis
|
|
Participated in
DataHour: Boosting Performance with Ensemble Methods
|
|
Participated in
DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
|
|
Participated in
DataHour: Feature Engineering and benefits of EDA
|
|
Participated in
DataHour: How Good is AI for Conversations?
|
|
Participated in
DataHour: Constructing Machine Learning Pipelines using Scikit-learn
|
|
Participated in
DataHour: A Simple Guide to Deep Metric Learning
|
|
Participated in
DataHour: Analyzing Data with SQL
|
|
Participated in
DataHour: Building a Web Application using Flask
|
|
Participated in
DataHour: Google Cloud No Code/Low Code AI Solutions
|
|
Participated in
DataHour: Roadmap to Data Engineering for Beginners
|
|
Participated in
DataHour: Contrastive Learning for Image Classification
|
|
Participated in
DataHour: Data Architect vs Data Engineer
|
|
Participated in
DataHour: Transforming HR with People Analytics
|
|
Participated in
DataHour: Application of ML Classification Techniques in Banking Industry
|
|
Participated in
DataHour: How to Forecast New Product Launches using Data Centric Approach
|
|
Participated in
DataHour: Everything You Need to Know About Pandas
|
|
Participated in
DataHour: An Introduction to Vision for Robotics
|
|
Participated in
DataHour: An Overview of Computer Vision
|
|
Participated in
DataHour: Building Effective Data Pipelines
|
|
Participated in
DataHour: Data Science in Banking Industry
|
|
Participated in
DataHour: Understanding Energy Industry through EDA
|
|
Participated in
DataHour: Introduction to Deep Learning with FastAI
|
|
Participated in
DataHour: Metrics in Tech - Using Data to Drive Business Decisions
|
|
Participated in
DataHour: Deep Dive into Airflow Components
|
|
Participated in
DataHour: Exploring the Best Book Sellers Dataset
|
|
Participated in
DataHour: Solving Business Problems with Microsoft Excel
|
|
Participated in
DataHour: Demystifying RCNN Family for Object Detection
|
|
Participated in
DataHour: Data Preparation and Feature Engineering in ML
|
|
Participated in
DataHour: Unlocking the Power of Embeddings
|
|
Participated in
DataHour: An Introduction to Spark for Data Engineering
|
|
Participated in
DataHour: Implementing a Neural Network using Pytorch
|
|
Participated in
DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
|
|
Participated in
DataHour: A/B testing - Theory, Practice and Pitfalls
|
|
Participated in
DataHour: Understanding Graph Data Science
|
|
Participated in
DataHour: An Introduction to Google Vision API
|
|
Participated in
DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
|
|
Participated in
DataHour: Salary Analysis and Prediction Using ML
|
|
Participated in
DataHour: Understanding Stable Diffusion & Prompt Engineering
|
|
Participated in
DataHour: Data Wrangling Using Geospatial Data in Python
|
|
Participated in
DataHour: Visualising Geospatial Data in Python Using Geopandas
|
|
Participated in
DataHour: Diabetic Patients’ Readmission Prediction using ML
|
|
Participated in
DataHour: Making Data Pipelines Easy with Dataproc and Composer
|
|
Participated in
DataHour: No-code ML Hands-on using Orange Data Mining Tool
|
|
Participated in
DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
|
|
Participated in
DataHour: Introduction to Docker
|
|
Participated in
DataHour: Data Engineering - Tools and Techniques
|
|
Participated in
DataHour: Image Classification using Deep Learning Models
|
|
Participated in
DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
|
|
Participated in
DataHour: Data Engineering in a Nutshell
|
|
Participated in
DataHour: Building Efficient Convolution Networks for Image Classification Tasks
|
|
Participated in
Machine Learning Huddle: Hyderabad Meet-Up
|
|
Participated in
DataHack Premier League 2018
|
|
Participated in
Lord of the Machines: Data Science Hackathon
|
|
Participated in
Practice Problem: Urban Sound Classification
|
|
Participated in
Identify the apparels (Fashion MNIST)
|
|
Participated in
Skilltest: SQL
|
|
Participated in
#AVdatafest Launch Party & Panel Discussion
|
|
Participated in
Practice Problem: Skilltest - Machine Learning
|
|
Participated in
Skilltest: Deep Learning
|
|
Participated in
AV LearnUp Chennai: Exploratory Data Analysis
|
|
Participated in
Experiments with Data
|
|
Participated in
Webinar: Mission 2020, The future of careers in Machine Learning
|
|
Participated in
Practice Problem: Strategic Thinking II
|
|
Participated in
DataCon - Big Data Analytics Workshop | Hyderabad
|
|
Participated in
Data Science Interview Preparation Test
|
|
Participated in
DataFest Closing Ceremony
|
|
Participated in
AV LearnUp Bengaluru: Data Science in Healthcare
|
|
Participated in
AV LearnUp Hyderabad: Exploratory Data Analysis
|
|
Participated in
Black Friday Sales Prediction
|
|
Participated in
Click Prediction Hackathon
|
|
Participated in
VISTA codeFest Computer Vision
|
|
Participated in
Webinar : How to Become a Data Scientist in 2019
|
|
Participated in
McKinsey Analytics Online Hackathon - Healthcare Analytics
|
|
Participated in
Rise of the Machines ( Meetup - Hyderabad)
|
|
Participated in
Webinar: How to crack analytics and machine learning interviews at campus placements?
|
|
Participated in
Student DataFest 2018: The Data Supremacy
|
|
Participated in
Hyper Connected World: The AI IMPACT (Hyderabad Meetup)
|
|
Participated in
Webinar: Introduction to TensorFlow with Intel Optimizations
|
|
Participated in
Practice Problem: Intel Scene Classification Challenge
|
|
Participated in
Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
|
|
Participated in
Food Demand Forecasting
|
|
Participated in
Webinar: How to Get Started with Natural Language Processing (NLP)
|
|
Participated in
McKinsey Analytics Online Hackathon - Sales Excellence
|
|
Participated in
Face Counting Challenge
|
|
Participated in
Predict Number of Upvotes
|
|
Participated in
Tredence (SQL Hackathon): Hack and Get Hired
|
|
Participated in
HR Analytics
|
|
Participated in
Analytics Vidhya Internship Challenge
|
|
Participated in
Identify the Sentiments
|
|
Participated in
Webinar: Build a Recommendation Engine for Retail Data
|
|
Participated in
Webinar: Problem Solving using AI - The QuantumBlack Story
|
|
Participated in
Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
|
|
Participated in
Loan Prediction
|
|
Participated in
India ML Hiring Hackathon 2019
|
|
Participated in
Community Meet: Rise of Super AI (Hyderabad Chapter)
|
|
Participated in
Twitter Sentiment Analysis
|
|
Participated in
Age Detection of Actors
|
|
Participated in
Machine Learning Starter Program Hackathon
|
|
Participated in
Student DataFest 2018: The Data Identity
|
|
Participated in
Janata Hack - Machine Learning Hackathon to support Janata Curfew
|
|
Participated in
Recommendation Engine
|
|
Participated in
Big Mart Sales Prediction
|
|
Participated in
JanataHack: Machine Learning for IoT
|
|
Participated in
Identify the Digits (MNIST)
|
|
Participated in
HackLive - Guided Community Hackathon!
|
|
Participated in
HackLive 3: Guided Hackathon - NLP
|
|
Participated in
Ascend Pro - Student Scholarship Test
|
|
Participated in
Time Series Forecasting
|
|
Participated in
DataHour: Think like a Data Scientist
|
|
Participated in
Panel Discussion: How to Ace DS Competitions?
|
|
Participated in
All India Data Science - Student Scholarship Test
|
|
Participated in
Big Break in Big Data: Sapient Talent Hunt for Data Engineers
|
|
Participated in
Roadmap to become full-stack data professional
|
|
Participated in
Machine Learning Summer Training
|
|
Participated in
Hack4Retail by McKinsey & Company and Fozzy Group
|
|
Participated in
DataHour: Deploying Deep Learning model to production using FastAPI & Docker
|
|
Participated in
DataHour: Improving Search Results with Semantic Search
|
|
Participated in
DataHour: Efficient Implementations of Transformers
|
|
Participated in
DataHour: Introduction to Network Science
|
|
Participated in
DataHour: ML oops to MLOps!
|
|
Participated in
DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
|
|
Participated in
DataHour: Introduction to Interpretable Machine Learning
|
|
Participated in
DataHour: Introduction to MLOps
|
|
Participated in
DataHour: Causal Inference in Practice
|
|
Participated in
DataHour: Data to Insightful Actions with No Code AI
|
|
Participated in
DataHour: Building NLP applications using Hugging Face
|
|
Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
|
|
Participated in
DataHour: An Introduction and Hands-On to Named Entity Recognition
|
|
Participated in
DataHour: Data Management and AI
|
|
Participated in
DataHour: Hands-on with Social Network Analysis
|
|
Participated in
Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
|
|
Participated in
DataHour: Introduction to Optimization Problems for Data Scientists
|
|
Participated in
DataHour: Computer Vision Landscape
|
|
Participated in
DataHour: Deep Learning - Maths Behind Back-Propagation
|
|
Participated in
DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
|
|
Participated in
DataHour: Everything you need to know about Speech Recognition
|
|
Participated in
DataHour: MLOps—DevOps for Machine Learning
|
|
Participated in
DataHour: Deep Dive into Graph Neural Nets for Content NLP
|
|
Participated in
DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
|
|
Participated in
DataHour: Building AI Applications in Minutes
|
|
Participated in
DataHour: Real-world Applications of Data science
|
|
Participated in
DataHour: Bias and Fairness in NLP
|
|
Participated in
DataHour: Next Leap - Data Science Adoption to Application
|
|
Participated in
DataHour: Data Modeling Concepts
|
|
Participated in
DataHour: Understanding Search Query
|
|
Participated in
DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
|
|
Participated in
DataHour: Making Sense of Clinical Text Data at Scale with NLP
|
|
Participated in
DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
|
|
Participated in
DataHour: Analyzing Movie Data using MongoDB
|
|
Participated in
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
|
|
Participated in
DataHour: Data Visualization using Python
|
|
Participated in
DataHour: Introduction to Explainable AI (XAI)
|
|
Participated in
DataHour: Leveraging GCP Vertex AI for Machine Learning
|
|
Participated in
DataHour: Methods for Explaining the Blackbox of Machine Learning Model
|
|
Participated in
DataHour: Quantum Computing Simulator Acceleration
|
|
Participated in
DataHour: Stirring up Data Science with SQL
|
|
Participated in
DataHour: Prediction to Production in Machine Learning
|
|
Participated in
DataHour: Trees of Data Science
|
|
Participated in
DataHour: Dynamic Time Warping for Time Series Classification
|
|
Participated in
DataHour: Deep Dive into Practical Machine Learning with Career Insights
|
|
Participated in
DataHour: Data Operations on Azure
|
|
Participated in
DataHour: Jumpstart your Career with AWS AI/ML
|
|
Participated in
DataHour: Nirvana State of MLOps
|
|
Participated in
DataHour: Introduction to GAN - A Practical Approach
|
|
Participated in
DataHour: Product Oriented Data Scientists
|
|
Participated in
DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
|
|
Participated in
DataHour: Anomaly detection using NLP and Predictive Modeling
|
|
Participated in
DataHour: Data Science in Retail
|
|
Participated in
DataHour: Data Science Data management using Pandas
|
|
Participated in
DataHour: Mitigating Bias in Machine Learning
|
|
Participated in
DataHour: Google Cloud AI/ML
|
|
Participated in
DataHour: Forecasting Stories
|
|
Participated in
DataHour: Energy Data Science - Project From Scratch
|
|
Participated in
DataHour: Explainable AI - Need and Implementation
|
|
Participated in
DataHour: Getting Started with EDA tools - Numpy and Pandas
|
|
Participated in
DataHour: Practical Applications of Data science in Ecommerce
|
|
Participated in
DataHour: The Fundamentals of Quantum Computing
|
|
Participated in
DataHour: How to tackle Overfitting?
|
|
Participated in
DataHour: Hands-on with A/B Testing
|
|
Participated in
DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
|
|
Participated in
DataHour: Building Data Pipelines on GCP
|
|
Participated in
DataHour: An Introduction to AWS EMR
|
|
Participated in
DataHour: Modern Deep Learning Architecture
|
|
Participated in
DataHour: 5 things you should know about Azure SQL
|
|
Participated in
DataHour: Prediction to Production in Machine Learning
|
|
Participated in
DataHour: Everything You Need to Know About Numpy
|
|
Participated in
DataHour: How to Build Interactive Dashboards using Power BI and Excel
|
|
Participated in
DataHour: Introduction To BigQuery ML
|
|
Participated in
DataHour: Time Series analysis using LSTM
|
|
Participated in
DataHour: AI & ML in the Automotive Industry
|
|
Participated in
DataHour: ETL Pipelines in GCP
|
|
Participated in
DataHour: Knowledge Graph Solutions using Neo4j
|
|
Participated in
DataHour: Practical Time Series Analysis
|
|
Participated in
DataHour: Building Machine Learning Models in BigQuery
|
|
Participated in
DataHour: Getting Started with Big Data
|
|
Participated in
DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
|
|
Participated in
DataHour: An Introduction to Central Limit Theorem
|
|
Participated in
DataHour: DCNN for Machine RUL Prediction using Time-series Data
|
|
Participated in
DataHour: A Day in the Life of a Data Scientist
|
|
Participated in
DataHour: Classification ML Model from Scratch
|
|
Participated in
DataHour: NLP aspects in Telecommunication Industry
|
|
Participated in
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
|
|
Participated in
DataHour: Visualizing Data using Python
|
|
Participated in
DataHour: Getting Started with AWS EC2
|
|
Participated in
DataHour: Model Guesstimation (MLOps)
|
|
Participated in
DataHour: ML Model Interpretation and Evaluation
|
|
Participated in
DataHour: An Unsupervised ML approach using Clustering
|
|
Participated in
Telstra Innovation Hackathon 2022
|
|
Participated in
DataHour: M in ML stands for Math & Magic
|
|
Participated in
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
|
|
Participated in
DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
|
|
Participated in
DataHour: Introduction to Federated Learning
|
|
Participated in
DataHour: Extracting Value from Data
|
|
Participated in
DataHour: Convolution Neural Network for Image Recognition
|
|
Participated in
DataHour: AI in Banking
|
|
Participated in
DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
|
|
Participated in
DataHour: Data Engineering with Databricks
|
|
Participated in
DataHour: Data Visualization in Data Science
|
|
Participated in
DataHour: Ensemble Techniques in Machine Learning
|
|
Participated in
DataHour: Exploratory Data Analysis with F#
|
|
Participated in
DataHour: Artificial Intelligence Approach in Stock Market Analysis
|
|
Participated in
DataHour: An Introduction to Measuring Marketing Channel Effectiveness
|
|
Participated in
DataHour: Unfolding Model Evaluation Metrics in Machine Learning
|
|
Participated in
DataHour: AI/ML Era in Customer Experience (CX)
|
|
Participated in
DataHour: Introduction to Classification using Azure Machine Learning
|
|
Participated in
DataHour: Hypothesis Testing A-Z
|
|
Participated in
DataHour: Making AI work for Business
|
|
Participated in
A Practical Approach to Kaggle Competition
|
|
Participated in
DataHour: Master Yourself in Google Analytics
|
|
Participated in
DataHour: How to Approach an ML Problem Statement from Scratch
|
|
Participated in
DataHour: Diffusion Models for Generative Arts
|
|
Participated in
DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
|
|
Participated in
DataHour: Netflix Data Analysis using Python
|
|
Participated in
DataHour: The Art of Feature Engineering
|
|
Participated in
DataHour: Causal Experimentations - When A/B Test is Not Possible
|
|
Participated in
DataHour: Introduction to Positive Unlabelled(PU) Learning
|
|
Participated in
DataHour: Using Data Science Methodology to Assess Equity in Communication
|
|
Participated in
DataHour: Introduction and Hands-on workshop with Reinforcement Learning
|
|
Participated in
DataHour: Towards Data Storytelling
|
|
Participated in
DataHour: Customer Data Science Models - Retail and CPG
|
|
Participated in
DataHour: Data Science Use Cases
|
|
Participated in
DataHour: Need for Self Supervised Learning - Practice at SAP
|
|
Participated in
DataHour: Applications of Machine Learning in Self Driving Cars
|
|
Participated in
DataHour: Understanding the Basics of a Neural Network
|
|
Participated in
DataHour: Diving into the field of Data Analytics
|
|
Participated in
DataHour: How to start your Kaggle journey?
|
|
Participated in
DataHour: Practical Hypothesis Testing
|
|
Participated in
DataHour: Steps before using an ML Model
|
|
Participated in
DataHour: Statistics in Data Science
|
|
Participated in
DataHour: Understanding Dimensionality Reduction
|
|
Participated in
DataHour: Data Science Use Cases - Part 2
|
|
Participated in
DataHour: An Empathetic AI for Healthcare
|
|
Participated in
DataHour: GANs Revolutionizing the World!
|
|
Participated in
DataHour: Data Warehouse and its importance in Data World
|
|
Participated in
DataHour: HIV Analysis using ML and Flutter
|
|
Participated in
DataHour: Churn Analytics in Telcos
|
|
Participated in
DataHour: An Introduction to Extended Reality (XR)
|
|
Participated in
DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
|
|
Participated in
DataHour: Python Data Structures
|
|
Participated in
DataHour: Exploring Heart Disease Data using Python
|
|
Participated in
DataHour: Evaluation Measures for Binary Classification
|
|
Participated in
DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
|
|
Participated in
DataHour: SQL - Intermediate to Advanced
|
|
Participated in
DataHour: Quantum Computing in Financial Industry
|
|
Participated in
DataHour: Introduction to DAX and Case Study
|
|
Participated in
DataHour: Big Data Architecture and the Best Practices on AWS
|
|
Participated in
DataHour: How Data Science is used in Fintech?
|
|
Participated in
DataHour: Introduction to Dimensional Data Modelling
|
|
Participated in
DataHour: Visualizing Data with Python
|
|
Participated in
DataHour: Solving BI challenges with Power BI & Automate
|
|
Participated in
DataHour: Advance SQL - Analytics/Windows Functions
|
|
Participated in
DataHour: Building and Operationalizing an Explainable Predictive Model
|
|
Participated in
DataHour: Importance of Statistics in Data Science and Machine Learning
|
|
Participated in
DataHour: How do Algorithms Generate Recommendations?
|
|
Participated in
DataHour: Classification Algorithms Evaluation Metrics
|
|
Participated in
DataHour: Advanced Exploratory Data Analysis on Credit Data
|
|
Participated in
DataHour: Exploring Multi-label & Multi-class Classification
|
|
Participated in
DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
|
|
Participated in
DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
|
|
Participated in
DataHour: Power-up Data Insights Leveraging Power BI
|
|
Participated in
DataHour: Building Cloud Native Data Pipelines
|
|
Participated in
DataHour: Diabetes Prediction Using Survival Analysis
|
|
Participated in
DataHour: Data Modelling Demystified
|
|
Participated in
DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
|
|
Participated in
DataHour: Analyzing Loan Application Data using Python
|
|
Participated in
DataHour: Transforming Business Challenges into Data Driven Solution
|
|
Participated in
DataHour: Hyperparameter Optimization Demystified
|
|
Participated in
DataHour: Get Started with Hadoop
|
|
Participated in
DataHour: An Introduction to Apache Airflow
|
|
Participated in
DataHour: Introduction to Optimization using Genetic Algorithms
|
|
Participated in
DataHour: Automate Repetitive Tasks using Excel VBA
|
|
Participated in
DataHour: Understanding Logistic Regression
|
|
Participated in
DataHour: Anomaly Detection in Time Series Data
|
|
Participated in
DataHour: Exploring the Fundamentals of DeepMatch
|
|
Participated in
DataHour: Building Python Dashboard using Plotly Dash
|
|
Participated in
DataHour: YOLO Object Detection using Python
|
|
Participated in
DataHour: Real-time Machine Learning - Challenges and Solution
|
|
Participated in
DataHour: An Introduction to Big Data Processing using Apache Spark
|
|
Participated in
DataHour: Training Your First PyTorch Model
|
|
Participated in
DataHour: Google BigQuery - The Modern Cloud Data Warehouse
|
|
Participated in
DataHour: Understanding ChatGPT and its Use Cases
|
|
Participated in
DataHour: Deploying Models for Sentiment Analysis on Cloud
|
|
Participated in
DataHour: Experiments with Interpretable Artificial Intelligence
|
|
Participated in
DataHour: Basic Concepts of Object Oriented Programming in Python
|
