| 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 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 DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future |
| Participated in DataHour:LangChain 101 |
| Participated in DataHour: Building Generative AI Applications using Amazon Bedrock |
| Participated in DataHour: Demystifying HugginFace, LlamaIndex, and LangChain |
| 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 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 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 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: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0 |
| Participated in DataHour: High Impact AI/ML Solutions by Effective Formulation |
| Participated in DataHour: Democratising AI Deployment |
| 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 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: 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: Generative AI- Training Pipelines and Advanced Strategies |
| Participated in DataHour: Era of Gen AI |
| Participated in DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs |
| 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 DataHour: Building Large Language Models for Code |
| Participated in DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs |
| Participated in DataHour: Quantum Computing Applications in Financial Industry |
| Participated in DataHour: Practical Guide to Train Your Own Large Language Models |
| Participated in DataHour: Using Langchain with LLM |
| Participated in DataHour: Paying Attention to Attention - A Deep Dive into Attention Models |
| Participated in DataHour: GEN AI - Image to Image Generation |
| Participated in DataHour: Unlocking Language Model Potential - The Power of Prompt Engineering |
| Participated in DataHour: Introduction to LLMs: An Interactive Workshop |
| Participated in GANs- Explore the Boundaries of Generative Art |
| Participated in LangChain in Action: Crafting Innovative LLM Powered Applications |
| Participated in DataHour: Generative AI with LLMs |
| Participated in DataHour: Building Trust, Ethics and Privacy in Generative AI & LLM |
| Participated in DataHour: Fine Tuning Generative Models |
| Participated in DataHour: Generative AI using Azure Open AI |
| Participated in DataHour: Generative AI - Midjourney, Code Generation & Beyond |
| Participated in DataHour: Reducing chatGPT Hallucinations by 80% |
| Participated in DataHour: Building Bridges - The Art of Prompt Engineering |
| Participated in DataHour: LlamaIndex - QA Systems with Private Data and Effective Evaluation |
| Participated in DataHour: Handling Satellite and Geospatial Raster Data in Python |
| Participated in DataHour: ChatGPT in Python for Beginners |
| Participated in DataHour: Statistics with Python for Data Science |
| Participated in DataHour: Titanic Machine Learning Case Study using Python |
| Participated in Identify the Digits (MNIST) |
| Participated in WEBINAR: The Importance Of Building The Right Problem Statement In Data Science |
| Participated in Time Series Forecasting |
| Participated in The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India |
| Participated in Numerolysis (By iQ’oniQ – The Quant, Logic and Analytics Club, NMIMS Hyderabad) |
| Participated in Recommendation Engine |
| Participated in Twitter Sentiment Analysis |
| Participated in Analytics Vidhya Hiring Hackathon |
| Participated in Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad) |
| Participated in Lord of the Machines: Data Science Hackathon |
| Participated in Loan Prediction |
| Participated in AV Express: Kickstart your Data Science career (Chennai) |
| Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack |
| Participated in AV LearnUp Chennai: NLP and its Application in Social Media Analytics |
| Participated in Practice Problem: Strategic Thinking II |
| Participated in Webinar on Machine Learning & Advanced Analytics for Smart Cities |
| Participated in AV LearnUp Chennai: Exploratory Data Analysis |
| Participated in Webinar on Information retrieval from unstructured text at scale using advanced deep learning |
| Participated in Experiments with Data |
| Participated in Age Detection of Actors |
| Participated in Click Prediction Hackathon |
| Participated in Big Mart Sales Prediction |
| Participated in #AVdatafest Launch Party & Panel Discussion |
| Participated in Webinar : How to crack Big Data & Data Science roles |
| Participated in Skilltest: k-Nearest Neighbor (kNN) |
| Participated in Practice Problem: Skilltest - Machine Learning |
| Participated in Practice Problem: Urban Sound Classification |
| Participated in Webinar: New Age Skills for New Age Data Scientists |
| Participated in Data Science Interview Preparation Test |
| Participated in Skilltest: Tree Based Models |
| Participated in Webinar: Can non programmers join Big Data and Data Science roles? |
| Participated in Webinar: Data Science vs Big Data vs Business Analytics (Choosing the right career track) |
| Participated in McKinsey Analytics Online Hackathon- Recommendation Design |
| Participated in Webinar on Careers in Artificial Intelligence: How to prepare for the future |
| Participated in Black Friday Sales Prediction |
| Participated in ABInBev : Data Science Talent Hunt Hackathon |
| Participated in McKinsey Analytics Online Hackathon - Sales Excellence |
| Participated in McKinsey Analytics Online Hackathon |
| Participated in Big Break in Big Data: Sapient Talent Hunt for Data Engineers |
| Participated in ABInBev : Data Engineering Talent Hunt Hackathon |
