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This repository contains end-to-end solutions for standard machine learning problems and problem statements shared in interviews

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amitbcp/machine_learning_problems

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Machine Learning - Deep Learning Problems

This repository consists solutions for a number of hackathons/projects/tutorials/course-work in Machine Learning & Deep Learning.

The repository tries to bucketise each of them separately with their respective details.

Contents

  1. Hackathons : Solutions of multiple Hackathons that we participated and ranked in top 3%.

  2. Deep Learning using Pytorch : Shows a walkthrough of using PyTorch for deeplearning.

  3. Tensorflow : Contains small project & kaggle course work using Tensorflow 1.X

  4. ML with Scikit Learn : This folder contains project done using Machine Learning only.

  5. Case Studies : This folder consists of case studies on various Maching Learning Problem Statements.lsdvjsb

    • Spark Funds Analysis : Analysis for an investment firm to decide type & amount of investment.
    • Lending Club Analysis : Analysis for financing firm to reject or aprrove loans
    • Geely Auto : Analysis on Car Type & Price for new autombile company entering US market.
    • Australian Housing Prices: Analysis on on houses to buy and resell to make profit in Australia
    • Telecom Churn : Analysis on customer to predict chances of customer leaving the network for Telecom players.

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This repository contains end-to-end solutions for standard machine learning problems and problem statements shared in interviews

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