Lecture materials, exercises, and solutions for Machine Learning Nanodegree Udacity Connect Intensive

Machine Learning Nano-Degree repository

My Project Submissions for Machine Learning Engineer Nanodegree - Udacity : https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009

A Supervised Regression model that is trained on the Boston house prediction dataset which is used to predict the prices of boston.

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

MLND (Machine Learning Engineer Nanodegree) program from Udacity

Machine Learning Engineer Nanodegree - Project 1 - This project uses Supervised Machine Learning to determine profiles which tend to make a donation for Charity ML.

Contains the projects that I worked on during the ML Nanodegree

A collection of Machine Learning projects which i completed for my Machine Learning Nanodegree from Udacity

Predicting Boston Housing Prices for Udacity Machine Learning Nanodegree

Find Donors for CharityML for Udacity Machine Learning Engineer Nanodegree

Supervised Learning - Finding Donors for CharityML

Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.

Creating Customer Segments for Udacity Machine Learning Engineer Nanodegree

Machine Learning Engineer Nanodegree Projects - My Submissions

This repository contains code for my Machine Learning Basic Nanodegree Project.

Study materials from Udacity

Predict the best selling price of a new home in Boston