Rahul Bhatia's repositories
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".
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.
Reliance-Stock-prediction-using-SVM
Predicting buy/sell of Reliance Stock using a Support Vector Machine on top of commonly used technical indicators.
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)
Intraday-1-Minute-data-Nifty-BankNifty
Intraday 1 minute tick Data for Nifty and Bank Nifty for backtesting purposes.
AutoML-TimeSeries-Forecasting
Use of ATSPy, a library to automate time series forecasting, using multiple models and ensembles.
Market-Regime-Identification-using-GMM-and-Markov-Regression
Identifying market regime through Gaussian Mixture Models and Markov Regression
Demand-Supply-Identification-Python
Identify zones of demand/supply(also called Support/Resistance) for financial assets using Python.
Monte-Carlo-Portfolio-Optimization
The notebook demonstrates Monte Carle Simulation to optimize weights for portfolio allocation to obtain maximal expected Sharpe Ratio
llama2-finetune-finance-alpaca-colab
Fine tuning a LLaMA 2 model on Finance Alpaca using 4/8 bit quantization, easily feasible on Colab.
Awesome-Data-Science
Best Blogs for Data Science and Machine Learning
heikin-ashi-python
Implementation of Heikin Ashi candlesticks in Python
OHLC-to-CandlestickPlot-Python
Small Snippet of Python Code to convert historical OHLC data for a particular stock to Candlestick charts.
pair-trading-python
Pair trading in Python - Testing for Correlation and Co-integration.
Product-Data-Scientist-Interview-Questions
Repository spanning resources to prepare for Data Scientist, Product Analytics roles at FAANG companies.
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.
Customer-Lifetime-Value-MachineLearning
Computing Customer Lifetime value via Machine Learning approach
MultiColumn-Label-Encoder
Usage of LabelEncoder on a Pandas Dataframe, and encoding multiple Columns at once.
Options-Pricing-Monte-Carlo
A monte Carlo simulation for Options Pricing, using Geometric Brownian Motion in Python.
PyCon-ID-2020-Demo
Demo Notebook for my talk "Top Notch Categorical Encoding using Python", presented at PyCon ID 2020
stanford-ner-jars
stanford ner jars
Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
FSB
The Few-Shot Bot: Prompt-Based Learning for Dialogue Systems