Term 1 Projects

This program is built around projects. When you complete each project, you will submit it to one of our expert reviewers who will give you personalized feedback. These projects will help you gain valuable experience and build a portfolio you can share with employers.

Below are the projects you will complete during the first term of the Machine Learning Nanodegree program:

Model Evaluation Validation: Predicting Boston Housing Prices

You'll use scikit learn and regression to analyze a real dataset of housing prices in boston. You'll build and optimize a model to predict the price of houses, based on their features.

Supervised Learning: Finding Donors for CharityML

Your task will be to build a classification model to identify the best potential donors for a charity. You'll be able to use several classification algorithms and optimize them for quality.

Unsupervised Learning: Creating Customer Segments

You will study a real dataset of customers for a company, and you'll apply several unsupervised learning techniques in order to extract valuable information from this data.