Rahul Bhatia

Data-Science-Interview-Resources. A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

React-Portfolio. A simple SPA Portfolio template for developer/designers built with React. Use it to showcase your work, testimonials and other information to clients.

Fetching-Financial-Data. Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

Greenblatt-Magic-Formula-Value-Investing. Implementation of Joel Greenblatt's magic formula, which he described in his book - "The Little Book That Still Beats the Market".

Lane-Line-Detection. Using OpenCV to detect Lane Lines on a road, one of the most fundamental concepts for building a Self-Driving car.

Spatio-Temporal-DBSCAN. Spatio Temporal DBSCAN algorithm in Python. Useful to cluster spatio-temporal data with irregular time intervals, a prominent example could be GPS trajectories collected using mobile devices.

Twitter-Sentiment-Analysis-Web. Twitter Sentiment Analysis using Textblob and Tweepy, wrapped with Flask as a web app.

Reliance-Stock-prediction-using-SVM. Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of commonly used technical indicators.

Dual-Moving-Average-Crossover-Python. The famous and simple Dual Moving Average crossover strategy implemented in Python, and then backtesting it on 2 years of AAPL stock.

LiDAR-Road-Analysis. Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, output the road properties such as road boundaries, lane markings, lane geometry.

Option-Writing-Calls-Using-Open-Interest. Deciding the strike price for writing options, based on the Open Interest from the option chain data from NSE(National Stock Exchange)

Data-Preprocessing-Template. This repository includes all the Data Preprocessing required before using a dataset on a Machine Learning Model. Please refer README on how to use.

Python-for-Data-Science. This repository contains iPython notebooks to get you started with sufficient amount of Python you need to learn to get started with your Data Science Journey.

Intraday-1-Minute-data-Nifty-BankNifty. Intraday 1 minute tick Data for Nifty and Bank Nifty for backtesting purposes.

Pan-Tompkins-Algorithm-Python. Implementation of the Pan-Tompkins algorithm in Python for the detection of QRS Complex in an ECG signal.

DeepLearning.ai-Summary. This repository contains my personal notes and summaries on [DeepLearning.ai](deeplearning.ai) course. I've enjoyed every little bit of the course hope you enjoy my notes too.

Market-Regime-Identification-using-GMM-and-Markov-Regression. Identifying market regime through Gaussian Mixture Models and Markov Regression

AutoML-TimeSeries-Forecasting. Use of ATSPy, a library to automate time series forecasting, using multiple models and ensembles.

ReactChat. A chat app built using React Native and Firebase.

MemoryGame. A memory game built in JavaScript implementing all the basic concepts of Vanilla JS

Demand-Supply-Identification-Python. Identify zones of demand/supply(also called Support/Resistance) for financial assets using Python.

Anomalies-Nifty50-LSTM-Autoencoder. This work demonstrates the use of an LSTM-Autoencoder, implemented using Tensorflow and Keras, to detect anomalies in Timeseries data, using an example of anomalies in the daily closing price of Nifty50, the equity index of the National Stock Exchange.

Product-Data-Scientist-Interview-Questions. Repository spanning resources to prepare for Data Scientist, Product Analytics roles at FAANG companies.

Monte-Carlo-Portfolio-Optimization. The notebook demonstrates Monte Carle Simulation to optimize weights for portfolio allocation to obtain maximal expected Sharpe Ratio

ShareFood. Food sharing app to prevent food waste by creating an interactive multi-channel system that will allow people with surplus excess foods from Weddings , Parties, and other events, to contact 'ShareFood' to donate food

DBSCAN-on-Spark. Small Example demonstrating how we can use DBSCAN with a groupby in a distributed manner across multiple worker nodes, using Pandas UDF in Spark.

LendingClub-Loan-Analysis. Lending Club Loan Default Analysis using historic loan applications data.

SVGBlackHole. An animation of black hole for landing page of a website

SocketChat. Simple Chatroom app implemented using Socket.io. Uses Node.js and Express Server as a backend.

Automating-Value-Investing. A script to automate the concept of value investing using Python by some of the fundamental concepts suggested by Benjamin Graham and Warren Buffet.

Hive-Cheatsheet. Quick reference and cheatsheet for commonly used Hive Commands

llama2-finetune-finance-alpaca-colab. Fine tuning a LLaMA 2 model on Finance Alpaca using 4/8 bit quantization, easily feasible on Colab.

GithubBattle. An app that compares two github users and rates them on various parameters and chooses a winner.

Canvas-Snow. A demonstration of JS Animation using Canvas that features Snow falling on the screen and some animation using Pure Vanilla JS.

Actor-Critic-RL-for-Algo-Trading. Jupyter Notebook

Stock-Forecasting-Prophet. Stock price forecasting for Reliance Stock using FBProphet.

GenderClassification. A simple Python Script using a Decision Tree Classifier to classify a person as a Male or Female based on their height, weight and Shoe Size.

FlutterNews. A Simple News app built using the Flutter Mobile Development SDK

Personalised-Cancer-Treatment. Jupyter Notebook

OHLC-to-CandlestickPlot-Python. Small Snippet of Python Code to convert historical OHLC data for a particular stock to Candlestick charts.

Nifty-Monthly-Weekly-Movement. Jupyter Notebook

Awesome-Data-Science. Best Blogs for Data Science and Machine Learning

pair-trading-python. Pair trading in Python - Testing for Correlation and Co-integration.

heikin-ashi-python. Implementation of Heikin Ashi candlesticks in Python

Evaluating-Investments-using-PyFolio. A repository that helps evaluate an investment portfolio and provides risk analytics using an amazing open-source package developed by Quantopian, called PyFolio.

CatsAndDogsClassifier. A convolutional neural network written in Keras to classify Cats and Dogs using Tensorflow as backend.

GithubSearch. Searches and gives information about a user with given Github user name.

stanford-ner-jars. stanford ner jars

Whether. Whether - The Weather App

MultiColumn-Label-Encoder. Usage of LabelEncoder on a Pandas Dataframe, and encoding multiple Columns at once.