Rahul Bhatia's Projects
AdminLTE - Free Premium Admin control Panel Theme Based On Bootstrap 3.x
My personal notes for Udacity's AI for Trading Nanodegree
Basic React Native app displaying List of Music Albums from an API(built using Express). Best starter app to master all the basics of React Native.
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.
A script to automate the concept of value investing using Python by some of the fundamental concepts suggested by Benjamin Graham and Warren Buffet.
Use of ATSPy, a library to automate time series forecasting, using multiple models and ensembles.
Best Blogs for Data Science and Machine Learning
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
A collection of awesome things regarding React ecosystem.
Free resources for learning Full Stack Web Development
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
An app which finds all nearby cafes within a given radius and uses the Google Places API
A demonstration of JS Animation using Canvas that features Snow falling on the screen and some animation using Pure Vanilla JS.
A convolutional neural network written in Keras to classify Cats and Dogs using Tensorflow as backend.
Covers all the basics of the Chart.js library
A repo containing cheat sheets for various languages, frameworks and technologies.
An artificial neural network predicting whether or not a customer will leave the bank or not based on certain independent factors using the Churn Modelling Dataset
A movie search engine, which fetches the details of a given movie, built on top of the TMDb API.
This repository discusses and implements most commonly used classification metrics.
Classification Template generalized for any Machine Learning Model.
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.
Correlation coefficients in Python
Computing Customer Lifetime value via Machine Learning approach
This repository includes all the Data Preprocessing required before using a dataset on a Machine Learning Model. Please refer README on how to use.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
A repository that contains courses I have taken on DataCamp
Small Example demonstrating how we can use DBSCAN with a groupby in a distributed manner across multiple worker nodes, using Pandas UDF in Spark.