ravi03071991

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About ravi03071991

Member Since Oct. 13, 2015, 8:05 p.m.
Location Hyderabad
Area of Interest R, Pig, Hive, Machine learning

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Participated in The Smart Recruits and secured rank 65
Participated in McKinsey Analytics Online Hackathon and secured rank 41
Participated in #AVdatafest SkillPower: Time Series and secured rank 24
Participated in #AVdatafest: The Strategic Thor and secured rank 9
Participated in #AVdatafest SkillPower: Machine Learning and secured rank 13
Participated in Date Your Data and secured rank 163
Participated in #AVdatafest SkillPower: Probability and secured rank 36
Participated in Student DataFest 2018: The Data Identity and secured rank 44
Participated in Mini DataHack and secured rank 57
Participated in MLWARE 1 - Text Mining Challenge and secured rank 86
Participated in #AVdatafest SkillPower: Deep Learning and secured rank 7
Participated in #AVdatafest The QuickSolver : Machine Learning Mini-Hack and secured rank 27
Participated in #AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack and secured rank 11
Participated in MiniHack: Machine Learning and secured rank 39
Participated in Skilltest : R for Data Science and secured rank 409
Participated in DataHour: Building Robust RAG Applications for the Real-World
Participated in #AVdatafest Xtreme ML Hack : Machine Learning Hackathon and secured rank 40
Participated in Skilltest: Regression and secured rank 41
Participated in MLWARE 2 - Recommendation Challenge and secured rank 92
Participated in Mini Datahack and secured rank 4
Participated in GenAI Meetup: Bangalore Chapter
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 AMA: Generative AI & Career in Data Science / Data Analytics
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: 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: Titanic Machine Learning Case Study using Python
Participated in DataHour: Statistics with Python for Data Science
Participated in DataHour: ChatGPT in Python for Beginners
Participated in DataHour: An Overview of Generative AI
Participated in DataHour: Exploring Dimensionality Reduction
Participated in DataHour: What do Hiring Managers Look for in Data Scientists?
Participated in DataHour: Generative AI and Large Language Models
Participated in DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)
Participated in DataHour: Web Scraping using Python Libraries
Participated in DataHour: Fine Tuning NLP Pipeline on Hugging Face
Participated in DataHour: A Beginner's Guide to Natural Language Processing
Participated in DataHour: An Overview of Named Entity Recognition(NER)
Participated in DataHour: Introduction to Social Network Analysis
Participated in DataHour: How to Become an AI/ML Cloud Architect?
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: Build Your Career in Data Analytics
Participated in DataHour: An Introduction to Machine Learning with Sequence Data
Participated in DataHour: FIFA World Cup Match Analysis Using Python
Participated in DataHour: Getting Started with Python
Participated in DataHour: Generating Labeled Data through Weak Supervision
Participated in DataHour: Feature Engineering and Selection for Machine Learning
Participated in DataHour: Best of Pandas & The Power of Simple Models
Participated in DataHour: Conversational Intelligence & Interactive Bots
Participated in DataHour: Transformers from Scratch
Participated in DataHour: Machine Learning on Live Streaming Data for AIOps
Participated in DataHour: Evaluation Criteria for Validating Machine Learning Models
Participated in DataHour: Forecasting & Time-series Analysis
Participated in DataHour: An Introduction to POS Tagging and Hidden Markov Model
Participated in DataHour: Boosting Performance with Ensemble Methods
Participated in DataHour: Feature Engineering and benefits of EDA
Participated in DataHour: How to Start Your Career in Data Engineering with SQL and Python?
Participated in DataHour: Constructing Machine Learning Pipelines using Scikit-learn
Participated in DataHour: Mastering Guesstimate Interview Questions
Participated in DataHour: How to Start your Journey in Data Engineering?
Participated in DataHour: Document Segmentation using Layout Parser
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: The Art of Using GPT3 Power
Participated in DataHour: Everything You Need to Know About Pandas
Participated in DataHour: Text Classification for Beginners
Participated in DataHour: Data Preparation and Feature Engineering in ML
Participated in DataHour: Unlocking the Power of Embeddings
Participated in DataHour: Exploring the World of AI and its Career Opportunities
Participated in DataHour: A/B testing - Theory, Practice and Pitfalls
Participated in DataHour: Understanding Graph Data Science
Participated in DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
Participated in DataHour: Salary Analysis and Prediction Using ML
Participated in DataHour: Data Wrangling Using Geospatial Data in Python
Participated in DataHour: Advanced Resume Shortlisting using NLP
Participated in DataHour: Diabetic Patients’ Readmission Prediction using ML
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 AVdatafest : Experiments With Data
Participated in AV Casino : Introduction to Probability
Participated in Skilltest: Statistics II
Participated in Skilltest: Tree Based Algorithms
Participated in Blogathon 2
Participated in Data Science Interview Preparation Test
Participated in Operations Research: Big Buck Challenge by IEOR @ IITB & McKinsey Knowledge Center India
Participated in Skilltest: Dimensionality Reduction
Participated in Loan Prediction
Participated in Black Friday Data Hack
Participated in AVdatafest : The Seer's Accuracy
Participated in Big Mart Sales Prediction
Participated in Internship Challenge - Analytics Vidhya (Data Science)
Participated in Internship Challenge Round 2- Analytics Vidhya (Data Science)
Participated in Practice Problem: Skilltest - Machine Learning
Participated in #AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
Participated in AV LearnUp Hyderabad: Marketing & Social Media Analytics
Participated in Age Detection of Actors
Participated in Re-Date Your Data: Learning Contest
Participated in Experiments With Data
Participated in Skilltest: Statistics
Participated in Knocktober 2016
Participated in Skilltest: Machine Learning
Participated in The Strategic Monk
Participated in Internship Challenge - Analytics Vidhya (Web Development)
Participated in Skilltest: Clustering
Participated in #AVdatafest Webinar: Use of Analytics in Telecom Industry
Participated in #AVdatafest DATAHACK HOUR
Participated in Identify the Digits (MNIST)
Participated in Webinar on Information retrieval from unstructured text at scale using advanced deep learning
Participated in The D Hack
Participated in AVdatafest : The Creative Analyst
Participated in Skilltest: Ensemble Modeling and secured rank 6
Participated in [Student DataFest 2018] Skilltest - Intro to Machine Learning
Participated in Webinar: How to crack Big Data & Data Science Role?
Participated in Mini Hack : Strategic Thinking
Participated in Experiments With Data
Participated in Mini Hack : Strategic Thinking
Participated in DataHour: Natural Language Processing for Indian Languages
Participated in DataHour: Exploring Heart Disease Data using Python
Participated in DataHour: Application of ChatGPT and DALL-E
Participated in DataHour: Netflix Data Analysis using Python
Participated in DataHour: ChatGPT and the coming Generative AI Revolution
Participated in DataHour: Fine Tuning Generative Models
Participated in DataHour: Exploring the Best Book Sellers Dataset
Participated in DataHour: How to become the G.O.A.T of Data Science in 2023?
Participated in DataHour: Unfolding Model Evaluation Metrics in Machine Learning
Participated in DataHour: Transformer Architecture and its Applications
Participated in DataHour: NLP Interaction with Power BI
Participated in DataHour: Building and Operationalizing an Explainable Predictive Model
Participated in DataHour: Demystifying Clustering in Topic Modeling Algorithms like BERTopic
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: Conversational AI and its Uses
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: Train GPT2 on Indian Language Dataset
Participated in DataHour: Data Science Career - Myths vs Truths
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: Hyperparameter Optimization Demystified
Participated in DataHour: An Introduction to Natural Language Processing
Participated in DataHour: Introduction to Optimization using Genetic Algorithms
Participated in DataHour: Data Science for Business - From Theory to Practice
Participated in DataHour: Launch Your Career in Data Science
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: Experiments with Interpretable Artificial Intelligence
Participated in DataHour: Basic Concepts of Object Oriented Programming in Python
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