Souptik 's Projects
Customised Text Reader for the Visually Impaired people
The aim of the case study is to analyse and predict the house prices in Australia.
Predict Remaining Useful Life (RUL) of batteries
EDA on Boston Crime Dataset from Kaggle
This case study is to predict the defaulters of a financial institution before approving them loans using past loan data using basic EDA.
The aim of the case study is to find the various parameters which would help a educational company to convert customers visting their website to actually buy a course
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
This repository will show how to handle emojis and emoticons while text preprocessing in NLP.
The aim of the case study is to find states contributing most to GDP of the country based on past data from 2016-2018.
Machine Learning Engineering with MLflow, published by Packt
The aim of the case study is to group the countries based on their immediate direst needs in case of any natural calamities which will help the NGO to provide help to the required first.
The aim of the case study is to predict the various factors affecting the price of a car, which will help a chinese automobile company to enter the US Market. <br> The machine learning model used here is mutliple linear regression
A repository for a PySpark Cookbook by Tomasz Drabas and Denny Lee
This repo shows how to create a racing bar chart in python quick and easy!
This is a custom repository for prediction of manufacturing quality based on readings obtained from sensors(accelerometers)
This is a repository with a well explained Research paper from Microsoft Research on Shallow RNN and an implementation of the model using Raspberry Pi
Config files for my GitHub profile.
Stock market analysis using SQL
The aim of the case study is to predict which customers will churn out from a telecom company based on past customer data.
Prediction of Survival of Passengers on the Titanic
5 exceptions to the most regularly used pytorch.tensor functions