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Participated in
Skilltest: Logistic Regression
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Participated in
SVM Skilltest
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Participated in
Skilltest: Tree Based Models
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Participated in
Skilltest: Deep Learning
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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
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: The Future of GenAI
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Participated in
DataHour: Data Curation and Reliability for LLM and GenAI Applications
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Participated in
DataHour: Should I Use RAG or Fine-Tuning?
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Participated in
DataHour: How to Customize and Evaluate Your LLMs
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Participated in
DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future
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Participated in
DataHour:LangChain 101
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Participated in
DataHour: Building Generative AI Applications using Amazon Bedrock
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Participated in
DataHour: Demystifying HugginFace, LlamaIndex, and LangChain
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Participated in
DataHour: Enterprise Challenges with Generative AI and LLMs
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Participated in
DataHour: ML Model Deployment: Best MLOps and GitOps Practices
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Participated in
DataHour: Open-Source For Accelerating AI Development
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Participated in
DataHour: Implementing Gen AI solutions with RAG Architecture
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Participated in
DataHour: Predictive Analytics - Performance Estimation without the Target Data
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Participated in
DataHour: Build Your Own Private ChatBot using GenAI- RAG
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Participated in
DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions
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Participated in
DataHour: Natural Language to SQL: Analyzing Netflix Movies with LLMs
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Participated in
DataHour: Search With ChatGPT: RAG and Semantic Search
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Participated in
DataHour: Mastering Conversational AI: Building Question-Answer Bot with LLM and RAG
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Participated in
DataHour: Creating Synthetic Data: An Easy Python Tutorial for Beginners
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Participated in
DataHour: Interpreting Machine Learning Models with Python
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Participated in
DataHour: Significance of Vector Databases in Gen AI
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Participated in
DataHour: Model Explainability and Model Diagnosis
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Participated in
DataHour: Large Language Models for India
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Participated in
DataHour: Introduction to Convolutional Neural Networks
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Participated in
DataHour: Visualizing Insights: Understanding Data Visualization Techniques
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Participated in
DataHour: Creating Advanced & Large-Scale Recommendation System
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Participated in
DataHour: Building a Simple LLM Application: ChatGPT Summarizer
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Participated in
DataHour: Building Safe AI Experiences with Azure AI Content Safety
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Participated in
DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning
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Participated in
DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps
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Participated in
DataHour: Crafting and Implementing a GenAI Strategy with StratOps
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Participated in
DataHour: ML Based Manufacturing Quality Inspection
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Participated in
DataHour: Generative AI / LLMs using Databricks Data Intelligence Platform
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Participated in
DataHour: Introduction to Time Series Analysis
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Participated in
DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning
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Participated in
DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
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Participated in
DataHour: LLMOps - MLOps for Generative AI
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Participated in
DataHour: Harnessing LLMs: Exploring Controllable Text Generation Without Fine-Tuning
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Participated in
DataHour: Custom GPTs in Industry: Assessing GPT-4V
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Participated in
DataHour: LLMs in Action: Crafting a Winning Product Strategy
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Participated in
DataHour: Large Language Models- Evolution, Challenges and Way Forward
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Participated in
DataHour: Multi-Modal RAG and Evaluation with LlamaIndex
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Participated in
DataHour: NoSQL: Leveraging Large Language Models for Text2SQL
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Participated in
DataHour: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0
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Participated in
DataHour: High Impact AI/ML Solutions by Effective Formulation
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Participated in
DataHour: Democratising AI Deployment
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Participated in
DataHour: Demystifying Demand Forecasting for Retail Success
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Participated in
DataHour: LLM Training Tips & Tricks
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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
DataHour: MemeGPT: Fine-Tuning LLMs to Generate Memes
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Participated in
DataHour: Current and Best Practices for LLM Evaluation
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Participated in
DataHour: Medical-Chat Bot: The History of Our Attempt
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Participated in
DataHour: Machine Learning Tips and Tricks
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Participated in
DataHour: Elevating Business Transformation: Leveraging Retrieval Augmented Generation (RAG)
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Participated in
DataHour: Building Useful Applications with LLMs
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Participated in
DataHour: Create a Language to SQL Translator with LLM
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Participated in
DataHour: Overview of Latent Diffusion, Stable Diffusion 1.5, & Challenges with SD 1.5
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Participated in
DataHour: Era of AI-Assisted Innovation
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Participated in
DataHour: Production Stack for LLMs
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Participated in
DataHour: Building Multi-Stage Reasoning Systems with LangChain
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Participated in
DataHour: Securing LLM-Based Applications
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Participated in
DataHour: BUILDING CHATBOTS USING LLM
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Participated in
DataHour: The Generative AI, Good & Bad with Real World Examples
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Participated in
DataHour: NLP Tasks Chaining with GenAI: How to Utilize Traditional NLP Knowledge in the World of LLMs?
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Participated in
DataHour: LLMs and Foundational Models in Ads Personalization
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Participated in
DataHour: Harnessing the Power of LLMs: A Deep Dive into Practical Solutions
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Participated in
DataHour: Business Intelligence with Microsoft Power BI
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Participated in
DataHour: Building Complex Systems Using ChatGPT
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Participated in
DataHour: The Dangers of Dirty Data
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Participated in
DataHour: Advanced Generative AI and Data Storytelling
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Participated in
DataHour: The 3 Secrets to Giving a Great Data Presentation
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Participated in
DataHour: Crash Course on Data Visualization with Power BI
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Participated in
DataHour: Generative AI: The Responsible Path Forward
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Participated in
DataHour: Chat With Your Data- Dive into GPT Langchain LLM Framework
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Participated in
DataHour: Efficient Fine-Tuning of LLMs on single T4 GPU using Ludwig
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Participated in
DataHour: From Text to Video: Unraveling the Power and Pitfalls of Generative AI
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Participated in
DataHour: Unleashing Generative AI in Data Analytics
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Participated in
DataHour: The Ethical Frontiers of Generative AI
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Participated in
DataHour: Crafting Text-Based Conversations: Leveraging VertexAI, Langchain, and Streamlit
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Participated in
DataHour: How to Build a Generative AI Application?
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Participated in
DataHour: Applications of Data Science in Pricing
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Participated in
DataHour: Explainable AI: Demystifying the Black Box Models
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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
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: Fine Tuning Generative Models
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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: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
|
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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: 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: 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: Deep Dive into Kubernetes and Concepts of Containerization
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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: Basics of Big Data File Formats
|
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Participated in
DataHour: Getting Started with Python
|
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Participated in
DataHour: Implementing Gradient Descent in Python
|
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Participated in
DataHour: Generating Labeled Data through Weak Supervision
|
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Participated in
DataHour: Google Cloud Vertex AI Platform
|
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Participated in
DataHour: Hands-on Journey to Neural Networks
|
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Participated in
DataHour: Apache Airflow - An Open Source Workflow Manager
|
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Participated in
DataHour: Data Availability Through Data Lake in Large Organization
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Participated in
DataHour: How to Build a Multi Task Model using TensorFlow
|
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Participated in
DataHour: Feature Engineering and Selection for Machine Learning
|
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Participated in
DataHour: Deep Learning for Time Series Forecasting
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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: Data Architect vs Data Engineer
|
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Participated in
DataHour: Contrastive Learning for Image Classification
|
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Participated in
DataHour: Feature Engineering and benefits of EDA
|
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Participated in
DataHour: Analyzing Data with SQL
|
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Participated in
DataHour: Evaluation Criteria for Validating Machine Learning Models
|
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Participated in
DataHour: Constructing Machine Learning Pipelines using Scikit-learn
|
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Participated in
DataHour: Forecasting & Time-series Analysis
|
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Participated in
DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
|
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Participated in
DataHour: Caching in Data Science
|
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Participated in
DataHour: Dataflow on Google Cloud
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Participated in
DataHour: Machine Learning on Live Streaming Data for AIOps
|
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Participated in
DataHour: Transforming HR with People Analytics
|
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Participated in
DataHour: Transformers from Scratch
|
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Participated in
DataHour: A Simple Guide to Deep Metric Learning
|
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Participated in
DataHour: Boosting Performance with Ensemble Methods
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Participated in
DataHour: Document Segmentation using Layout Parser
|
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Participated in
DataHour: Building a Web Application using Flask
|
|
Participated in
DataHour: The Art of Using GPT3 Power
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Participated in
DataHour: An Introduction to POS Tagging and Hidden Markov Model
|
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Participated in
Twitter Sentiment Analysis
|
|
Participated in
Recommendation Engine
|
|
Participated in
AV LearnUp Mumbai: HR Analytics
|
|
Participated in
Experiments With Data
|
|
Participated in
Skilltest: Statistics
|
|
Participated in
Skilltest: Statistics II
|
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Participated in
Experiments with Data
|
|
Participated in
MiniHack: Machine Learning
|
|
Participated in
#AVdatafest Launch Party & Panel Discussion
|
|
Participated in
#AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
|
|
Participated in
Skilltest: Linear Regression
|
|
Participated in
Re-Date Your Data: Learning Contest
|
|
Participated in
Practice Problem: Strategic Thinking II
|
|
Participated in
Experiments With Data
|
|
Participated in
The Strategic Monk
|
|
Participated in
Data Science Interview Preparation Test
|
|
Participated in
Strategic Sprint Mar 2017
|
|
Participated in
Skilltest: Ensemble Modeling
|
|
Participated in
Webinar: Future of Big Data & Career Opportunities in Big Data World
|
|
Participated in
Webinar on Information retrieval from unstructured text at scale using advanced deep learning
|
|
Participated in
Identify the Digits (MNIST)
|
|
Participated in
Experiments With Data
|
|
Participated in
The Smart Recruits
|
|
Participated in
Mind Your Strategy
|
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Participated in
Skilltest : R for Data Science
|
|
Participated in
Black Friday Sales Prediction
|
|
Participated in
Skilltest: Machine Learning
|
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Participated in
Skilltest: Clustering
|
|
Participated in
Skilltest: SQL
|
|
Participated in
AV LearnUp Mumbai: Marketing Analytics in Banking & Finance
|
|
Participated in
Date Your Data
|
|
Participated in
Skilltest: Deep Learning
|
|
Participated in
The Strategic Ball
|
|
Participated in
Skilltest: SAS
|
|
Participated in
Operations Research: Big Buck Challenge by IEOR @ IITB & McKinsey Knowledge Center India
|
|
Participated in
MLWARE 1 - Text Mining Challenge
|
|
Participated in
Data Science Hackathon - Cross-sell: target the right customer
|
|
Participated in
Webinar: How to Get Started with Natural Language Processing (NLP)
|
|
Participated in
Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
|
|
Participated in
Identify the apparels (Fashion MNIST)
|
|
Participated in
Practice Problem: Intel Scene Classification Challenge
|
|
Participated in
Practice Problem: Urban Sound Classification
|
|
Participated in
McKinsey Analytics Online Hackathon- Recommendation Design
|
|
Participated in
McKinsey Analytics Online Hackathon - Sales Excellence
|
|
Participated in
Fractal Analytics Hiring Hackathon
|
|
Participated in
Face Counting Challenge
|
|
Participated in
JanataHack: Mobility Analytics
|
|
Participated in
Webinar: Build a Recommendation Engine for Retail Data
|
|
Participated in
Loan Prediction
|
|
Participated in
Webinar: Problem Solving using AI - The QuantumBlack Story
|
|
Participated in
AmExpert 2018 (Machine Learning Hackathon)
|
|
Participated in
JanataHack: Machine Learning for IoT
|
|
Participated in
Age Detection of Actors
|
|
Participated in
Data Science Hackathon: Churn Prediction
|
|
Participated in
Practice Problem: Skilltest - Machine Learning
|
|
Participated in
Webinar: How to Deploy your ML Model?
|
|
Participated in
Webinar: Going Beyond your First ML Project
|
|
Participated in
Webinar: Business Analytics Vs Data Science
|
|
Participated in
WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
|
|
Participated in
McKinsey Analytics Online Hackathon
|
|
Participated in
DATA TALES – Beyond Infinity (Round 1: Machine Learning Competition by Great Lakes Institute of Management)
|
|
Participated in
Janatahack: Healthcare Analytics II
|
|
Participated in
JanataHack: Time Series Forecasting
|
|
Participated in
Time Series Forecasting
|
|
Participated in
JanataHack: HR Analytics
|
|
Participated in
JanataHack: Machine Learning for Banking
|
|
Participated in
LTFS Data Science FinHack 3
|
|
Participated in
Janatahack: Healthcare Analytics
|
|
Participated in
JanataHack: Recommendation Systems
|
|
Participated in
Janatahack: Customer Segmentation
|
|
Participated in
Janatahack: Machine Learning in Agriculture
|
|
Participated in
JanataHack: Demand Forecasting
|
|
Participated in
Janatahack: Independence Day 2020 ML Hackathon
|
|
Participated in
Janatahack: Cross-sell Prediction
|
|
Participated in
HR Analytics
|
|
Participated in
Big Mart Sales Prediction
|
