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Participated in
JanataHack: Mobility Analytics
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Participated in
JanataHack: Recommendation Systems
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Participated in
WNS Analytics Wizard 2019
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Participated in
Dataverse Hack
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Participated in
JanataHack - E-Commerce Analytics ML Hackathon
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Participated in
JanataHack: NLP Hackathon
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Participated in
Janatahack: Machine Learning in Agriculture
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Participated in
JanataHack: HR Analytics
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Participated in
LTFS Data Science FinHack ( ML Hackathon)
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Participated in
Dataverse Hack: Build an AI Model to Save Lives
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Participated in
Janatahack: Healthcare Analytics
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Participated in
JanataHack: Demand Forecasting
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Participated in
Data Science Blogathon - 43
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Participated in
DataHour: LLM Fine-tuning for Beginners with Unsloth
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Participated in
DataHour: Large Language Models: Foundation, Evolution and Applications
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Participated in
DataHour: Introduction to Serving Machine Learning Models as Microservices
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Participated in
DataHour: Innovative Applications of Artificial Intelligence
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Participated in
DataHour: Real-World REST APIs with Docker Containers
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Participated in
DataHour: Building Robust RAG Applications for the Real-World
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Participated in
DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach
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Participated in
DataHour: Continuous Testing and Evaluation with LLMs
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Participated in
DataHour: Rust and Python in the age of LLMOps
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Participated in
DataHour: Full-Stack Data Science with FastAPI
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Participated in
Better Data Understanding Through GenAI Powered Search
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Participated in
DataHour: Harnessing ML and NLP for Elevated Customer Experiences
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Participated in
Data Science Blogathon 42
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Participated in
DataHour: Empowering Stakeholders: With Supercharged & Functional Tableau Dashboard
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Participated in
DataHour: Responsible Use of Generative AI
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Participated in
DataHour: Creating Delightful Customer Experience with RAG
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Participated in
DataHour: Data Curation and Reliability for LLM and GenAI Applications
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Participated in
DataHour: The Future of GenAI
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Participated in
DataHour: Should I Use RAG or Fine-Tuning?
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Participated in
Data Science Blogathon - 41
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Participated in
WNS Triange Hackquest
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Participated in
Data Science Blogathon - 40
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Participated in
Ripik.AI HackFest: Unleashing AI Potential
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Participated in
Data Science Blogathon - 39
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Participated in
DataHour: Demystifying Demand Forecasting for Retail Success
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Participated in
DataHour: Unwritten Rules for Success in Machine Learning
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Participated in
DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
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Participated in
Data Science Blogathon - 38
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Participated in
DataHour: Machine Learning Tips and Tricks
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Participated in
Twitter Sentiment Analysis
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Participated in
Data Science Blogathon - 37
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Participated in
Phir Ek Mauka Hack: Ind vs Pak Cricket Hackathon
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Participated in
The Sledge Hack: Ind vs Aus Cricket Hackathon
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Participated in
Data Science Blogathon - 36
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Participated in
Query Domain Classification
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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
Data Science Blogathon - 35
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Participated in
Data Science Blogathon - 34
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Participated in
Data Science Blogathon - 33
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Participated in
Data Science Blogathon - 32
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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: Industrial Application of Large Language Models like ChatGPT
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Participated in
DataHour: Statistics with Python for Data Science
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Participated in
DataHour: Exploring Dimensionality Reduction
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Participated in
Data Science Blogathon - 31
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Participated in
DataHour: Web Scraping using Python Libraries
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Participated in
DataHour: Introduction to Social Network Analysis
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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: Unlocking Business Growth - The Power of Customer Segmentation
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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: Personalizing Demand Planning Using Scenario Analysis
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Participated in
DataHour: ChatGPT and the Future of NLP Systems
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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
Loan Prediction
|
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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
Data Science Blogathon - 30
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Participated in
DataHour: Application of Data Science in Insurance Industry
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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: 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 Good is AI for Conversations?
|
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Participated in
Time Series Forecasting
|
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Participated in
DataHour: Constructing Machine Learning Pipelines using Scikit-learn
|
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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: Everything You Need to Know About Pandas
|
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Participated in
DataHour: Data Science in Banking Industry
|
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Participated in
DataHour: Understanding Energy Industry through EDA
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Participated in
DataHour: Metrics in Tech - Using Data to Drive Business Decisions
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Participated in
DataHour: Exploring the Best Book Sellers Dataset
|
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Participated in
DataHour: Solving Business Problems with Microsoft Excel
|
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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: 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: Diabetic Patients’ Readmission Prediction using ML
|
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Participated in
Data Science Blogathon - 29
|
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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
Joke Rating Prediction
|
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Participated in
Face Counting Challenge
|
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Participated in
Analytics Vidhya Internship Challenge
|
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Participated in
HR Analytics
|
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Participated in
Game of Deep Learning: Computer Vision Hackathon
|
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Participated in
Intel AI Enterprise Meetup - Bengaluru (Invite-Only)
|
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Participated in
Club Mahindra DataOlympics
|
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Participated in
JanataHack: Machine Learning for IoT
|
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Participated in
JanataHack: Time Series Forecasting
|
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Participated in
JanataHack: Machine Learning for Banking
|
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Participated in
Janatahack: Healthcare Analytics II
|
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Participated in
Black Friday Sales Prediction
|
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Participated in
Age Detection of Actors
|
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Participated in
Janatahack: Independence Day 2020 ML Hackathon
|
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Participated in
Janatahack: Customer Segmentation
|
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Participated in
Janatahack: Cross-sell Prediction
|
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Participated in
LTFS Data Science FinHack 3
|
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Participated in
Data Science Blogathon 5
|
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Participated in
Identify the Digits (MNIST)
|
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Participated in
Identify the apparels (Fashion MNIST)
|
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Participated in
DataHour: An Overview of Feature Engineering for Data Science
|
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Participated in
Football Hackathon
|
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Participated in
Identify the Sentiments
|
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Participated in
DataHour: Data to Insightful Actions with No Code AI
|
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Participated in
DataHour: Methods for Explaining the Blackbox of Machine Learning Model
|
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Participated in
DataHour: Data Management and AI
|
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Participated in
Data Science Blogathon - 27
|
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Participated in
Machine Learning Summer Training
|
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Participated in
DataHour: The Fundamentals of Quantum Computing
|
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Participated in
DataHour: How to tackle Overfitting?
|
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Participated in
DataHour: Hands-on with A/B Testing
|
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Participated in
DataHour: Efficient Implementations of Transformers
|
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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: Practical Applications of Data science in Ecommerce
|
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Participated in
DataHour: Explainable AI - Need and Implementation
|
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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: Everything You Need to Know About Numpy
|
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Participated in
DataHour: AI & ML in the Automotive Industry
|
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Participated in
DataHour: ETL Pipelines in GCP
|
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Participated in
DataHour: Knowledge Graph Solutions using Neo4j
|
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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: An Introduction to Central Limit Theorem
|
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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: 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
DataHour: An Unsupervised ML approach using Clustering
|
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Participated in
DataHour: ML Model Interpretation and Evaluation
|
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Participated in
DataHour: M in ML stands for Math & Magic
|
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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: Introduction to Federated Learning
|
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Participated in
DataHour: Extracting Value from Data
|
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Participated in
DataHour: AI in Banking
|
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Participated in
Predict Number of Upvotes
|
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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
|
|
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
|
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Participated in
DataHour: Making AI work for Business
|
|
Participated in
A Practical Approach to Kaggle Competition
|
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Participated in
DataHour: How to Approach an ML Problem Statement from Scratch
|
|
Participated in
DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
|
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Participated in
DataHour: Netflix Data Analysis using Python
|
|
Participated in
DataHour: The Art of Feature Engineering
|
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Participated in
DataHour: Causal Experimentations - When A/B Test is Not Possible
|
|
Participated in
DataHour: Exploratory Data Analysis with F#
|
|
Participated in
DataHour: Introduction to Positive Unlabelled(PU) Learning
|
|
Participated in
DataHour: Introduction and Hands-on workshop with Reinforcement Learning
|
|
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: Using Data Science Methodology to Assess Equity in Communication
|
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Participated in
DataHour: Applications of Machine Learning in Self Driving Cars
|
|
Participated in
Food Demand Forecasting
|
|
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
Big Mart Sales Prediction
|
|
Participated in
DataHour: Steps before using an ML Model
|
|
Participated in
Data Science Blogathon - 26
|
|
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: 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: Python Data Structures
|
|
Participated in
DataHour: Exploring Heart Disease Data using Python
|
|
Participated in
DataHour: Evaluation Measures for Binary Classification
|
|
Participated in
DataHour: Quantum Computing in Financial Industry
|
|
Participated in
DataHour: How Data Science is used in Fintech?
|
|
Participated in
Data Science Blogathon - 28
|
|
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: Diabetes Prediction Using Survival Analysis
|
|
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: Introduction to Optimization using Genetic Algorithms
|
|
Participated in
DataHour: Understanding Logistic Regression
|
|
Participated in
DataHour: Anomaly Detection in Time Series Data
|
|
Participated in
DataHour: Real-time Machine Learning - Challenges and Solution
|
|
Participated in
DataHour: Understanding ChatGPT and its Use Cases
|
|
Participated in
DataHour: Experiments with Interpretable Artificial Intelligence
|
|
Participated in
DataHour: Basic Concepts of Object Oriented Programming in Python
|
