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Rahul Bhatia

I am Rahul Bhatia, a Data Scientist, with a high degree of interest in quantitative research and financial markets.

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Rahul Bhatia's Projects

adminlte icon adminlte

AdminLTE - Free Premium Admin control Panel Theme Based On Bootstrap 3.x

albums icon albums

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.

anomalies-nifty50-lstm-autoencoder icon 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.

automating-value-investing icon 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.

cafefinder icon cafefinder

An app which finds all nearby cafes within a given radius and uses the Google Places API

canvas-snow icon canvas-snow

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

catsanddogsclassifier icon catsanddogsclassifier

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

cheatsheets icon cheatsheets

A repo containing cheat sheets for various languages, frameworks and technologies.

churn_modelling icon churn_modelling

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

cinemabot icon cinemabot

A movie search engine, which fetches the details of a given movie, built on top of the TMDb API.

confidence-interval-using-bootstrapping icon 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.

data-preprocessing-template icon 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.

data-science-interview-resources icon 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.

datacamp icon datacamp

A repository that contains courses I have taken on DataCamp

dbscan-on-spark icon 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.

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