Discover Rajat-dhyani/creating_customer_segments Open Source project

Stars
2
Language
HTML
Created over 7 years ago
Updated over 7 years ago

Rajat-dhyani

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

In this project I have used unsupervised learning techniques to see if any similarities exist between customers, and how to best segment customers into distinct categories using a real-world dataset

Stock-Price-Predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

HTML

269

ImageNetBot

In this project i have applied deep learning techniques to train a model to classify images using convolutional neural network algorithm.

HTML

Smart-Cab

In this project i have applied reinforcement learning techniques for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time.

HTML

The_L

The L is a LAN (Local Area Network) Chat App for desktop which lets multiple user chat simultaneously.

Java

titanic_survival

In this project, I have created decision functions that attempt to predict survival outcomes from the 1912 Titanic disaster based on each passenger’s features, such as sex and age.

HTML

charity_donors

In this project i used many supervised learning algorithms available in scikit-learn, and also provided a method of evaluating, just how each model works and performs on a certain type of data.

HTML

boston_housing

In this project, i have applied basic machine learning concepts on data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.

HTML

100DaysOfML

I am taking up the challenge to practice Machine Learning at least an hour everyday for next 100 days!!

Rajat-dhyani/creating_customer_segments

Rajat-dhyani

Reviews

Repository Details

More Repositories