rjskr01

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About rjskr01

Member Since Aug. 24, 2015, 3:39 p.m.
Location Chennai
Area of Interest Hadoop, , R , Spark , C# , Java script

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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 Recommendation Engine
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 Face Counting Challenge
Participated in Predict Number of Upvotes
Participated in DataHour: ML Based Manufacturing Quality Inspection
Participated in DataHour: Introduction to Time Series Analysis
Participated in DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps
Participated in DataHour: Generative AI / LLMs using Databricks Data Intelligence Platform
Participated in DataHour: Crafting and Implementing a GenAI Strategy with StratOps
Participated in Lord of the Machines: Data Science Hackathon
Participated in DataHack Premier League 2018
Participated in Age Detection of Actors
Participated in Black Friday Sales Prediction
Participated in Skilltest: Statistics
Participated in Skilltest : R for Data Science
Participated in Skilltest: Machine Learning
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
Participated in #AVdatafest DATAHACK HOUR
Participated in #AVdatafest PowerTool: R for Data Science
Participated in Skilltest: Logistic Regression
Participated in Practice Problem: Urban Sound Classification
Participated in #AVdatafest Launch Party & Panel Discussion
Participated in Blogathon
Participated in Big Mart Sales Prediction
Participated in Time Series Forecasting
Participated in Experiments With Data
Participated in Skilltest: Clustering
Participated in Skilltest: Deep Learning
Participated in #AVdatafest Webinar: Use of Analytics in Telecom Industry
Participated in Data Science Interview Preparation Test
Participated in Click Prediction Hackathon
Participated in Data Science Hackathon - Cross-sell: target the right customer
Participated in Experiments With Data
Participated in Experiments With Data
Participated in Experiments With Data
Participated in AV Casino : Introduction to Probability
Participated in Knocktober 2016
Participated in Experiments with Data
Participated in Twitter Sentiment Analysis
Participated in Loan Prediction
Participated in Joke Rating Prediction
Participated in Identify the apparels (Fashion MNIST)
Participated in The Smart Recruits
Participated in Identify the Sentiments
Participated in AV LearnUp Chennai: Exploratory Data Analysis
Participated in Mini Hack : Strategic Thinking
Participated in Identify the Digits (MNIST)
Participated in JOB-A-THON - May 2021
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