Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
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Updated
Jan 30, 2020
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Problem Statement: Given the tweets from customers about various tech firms who manufacture and sell mobiles, computers, laptops, etc, the task is to identify if the tweets have a negative sentiment towards such companies or products.
Analytics Vidhya India ML Hiring Hackathon 2019
Notebooks of different competitions
Contains my experiments for the Game of Deep Learning Hackathon conducted by Analytics Vidhya
Machine Learning for Email Marketing Campaigns
Rank 4 Solution for Analytics Vidhya Jantahack Healthcare Analytics
This repo is a project where we developed a real-world prototype of how deep learning and image classification can be used in the banking sector. The goal is to carry out a complete machine-learning demo using a real-life problem scenario.
The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.
Agentic AI certificates by Analytics Vidhya
Dual-task DNN on CPCB water quality data: WQI regression + classification | TensorFlow/Keras | AV GenAI Pinnacle Plus
Health classification ML pipeline: 4 models, feature engineering, clinical data cleaning | AV GenAI Pinnacle Plus
LangGraph StateGraph: math tool-use loop + multi-agent router (web/RAG/LLM) with typed state | AV GenAI Pinnacle Plus
PDF → LLM summary → MCQ quiz generator via LangChain SequentialChain | AV GenAI Pinnacle Plus
BPE tokenizer from scratch on WikiText-2: 30K vocab, special tokens, TemplateProcessing → PreTrainedTokenizerFast
Advanced RAG: LIC policy (3 embeddings x 2 LLMs) + Coca-Cola 10K 2014–2023 with Cohere reranker + SubQuestion engine
Flask REST API: live stock data, OHLCV history, Sharpe/drawdown/MA analytics + BUY/HOLD/SELL | AV GenAI Pinnacle Plus
4 AutoGen patterns: Reflection loop · FunctionTool BMI · StateFlow portfolio manager · Multi-modal bill analyzer
AI Agent industry report (.1B→7B market) auto-generated as .docx using Python stdlib + multi-LLM RAG | AV GenAI Pinnacle Plus
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