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car-price-prediction---lr

A Chinese automobile company Geely Auto aspires to enter the US market by setting up their manufacturing unit there and producing cars locally to give competition to their US and European counterparts.

clustering-and-pca

HELP International has raised $10M for fighting poverty and providing aid to backward countries. Group countries based on various socio-economics factors.

credit-card-fraud-detection

The aim of this project is to predict fraudulent credit card transactions using machine learning models. The data set that you will be working on during this project was obtained from Kaggle. It contains thousands of individual transactions that took place over a course of two days and their respective labels.

demo

This is a demo repository

gdp-analysis

The overall goal of this project is to focus on areas that will foster economic development for their respective states. Since the most common measure of economic development is the GDP, you will analyse the GDP of the various states of India and suggest ways to improve it.

gesture-recognition---neural-network

Develop a cool feature in the smart-TV that can recognise five different gestures performed by the user which will help users control the TV without using a remote

home-credit-eda-case-study

This case study aims to identify patterns which indicate if a client has difficulty paying their installments which may be used for taking actions such as denying the loan, reducing the amount of loan, lending (to risky applicants) at a higher interest rate, etc. This will ensure that the consumers capable of repaying the loan are not rejected. Identification of such applicants using EDA is the aim of this case study.

human-or-robot-logistic-regression

lead-scoring-case-study

Build a logistic regression model to assign a lead score between 0 and 100 to each of the leads which can be used by the company to target potential leads. A higher score would mean that the lead is hot, i.e. is most likely to convert whereas a lower score would mean that the lead is cold and will mostly not get converted.

my-website

neural-network---mnist

We will use the MNIST dataset to train your model to classify handwritten digits between 0-9.

old_rushhemant.github.io

prokabaddi

Prediction for Pro Kabaddi 2019

rushhemant.github.io

surprise-housing-co---linear-regression

Determine: Which variables are significant in predicting the price of a house, and How well those variables describe the price of a house.

telecom-churn---logistic-regression

In this project, we will analyse customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn and identify the main indicators of churn.

uber-analysis

The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation. As a result of your analysis, you should be able to present to the client the root cause(s) and possible hypotheses of the problem(s) and recommend ways to improve them.