rbhatia46

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.

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.

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.

Options-Pricing-Monte-Carlo

A monte Carlo simulation for Options Pricing, using Geometric Brownian Motion in Python.

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.

Reliance-Stock-prediction-using-SVM

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

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.

rbhatia46/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.

rbhatia46/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.

rbhatia46/Fetching-Financial-Data

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

rbhatia46/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".

rbhatia46/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.

rbhatia46/Reliance-Stock-prediction-using-SVM

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

rbhatia46/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)

rbhatia46/Intraday-1-Minute-data-Nifty-BankNifty

Intraday 1 minute tick Data for Nifty and Bank Nifty for backtesting purposes.

rbhatia46/AutoML-TimeSeries-Forecasting

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

rbhatia46/Market-Regime-Identification-using-GMM-and-Markov-Regression

Identifying market regime through Gaussian Mixture Models and Markov Regression

rbhatia46/Demand-Supply-Identification-Python

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

rbhatia46/Monte-Carlo-Portfolio-Optimization

The notebook demonstrates Monte Carle Simulation to optimize weights for portfolio allocation to obtain maximal expected Sharpe Ratio

rbhatia46/Product-Data-Scientist-Interview-Questions

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

rbhatia46/llama2-finetune-finance-alpaca-colab

Fine tuning a LLaMA 2 model on Finance Alpaca using 4/8 bit quantization, easily feasible on Colab.

rbhatia46/Awesome-Data-Science

Best Blogs for Data Science and Machine Learning

rbhatia46/heikin-ashi-python

Implementation of Heikin Ashi candlesticks in Python

rbhatia46/Nifty-Monthly-Weekly-Movement

rbhatia46/OHLC-to-CandlestickPlot-Python

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

rbhatia46/pair-trading-python

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

rbhatia46/Confidence-Interval-Using-Bootstrapping

Computing the confidence intervals using Bootstrapping. It is very useful when we have to compute the confidence interval for any other statistic apart from mean(where CLT can be used) given we dont know anything about the underlying distribution of the data.

rbhatia46/Customer-Lifetime-Value-MachineLearning

Computing Customer Lifetime value via Machine Learning approach

rbhatia46/mlops-on-gcp

rbhatia46/MultiColumn-Label-Encoder

Usage of LabelEncoder on a Pandas Dataframe, and encoding multiple Columns at once.

rbhatia46/Options-Pricing-Monte-Carlo

A monte Carlo simulation for Options Pricing, using Geometric Brownian Motion in Python.

rbhatia46/PyCon-ID-2020-Demo

Demo Notebook for my talk "Top Notch Categorical Encoding using Python", presented at PyCon ID 2020

rbhatia46/stanford-ner-jars

stanford ner jars

rbhatia46/3DNavigationBar

rbhatia46/Bert-Multi-Label-Text-Classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

rbhatia46/FSB

The Few-Shot Bot: Prompt-Based Learning for Dialogue Systems

rbhatia46/rbhatia46

About Me