Udacity Machine Learning Nanodegree

Machine learning represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence.

Introduction

Right after finishing Udacity Data Analysis Nanodegree, I found myself fascinated by Machine Learning. I will keep exploring. Udacity Machine Learning Nanodegree contains 6 projects, from supervised machine learning to deep learning. I will share my work here, please feel free to fork it, and let you know how to improve these projects.

Getting Started

Overview

This program will include various machine learning projects.

• Titanic Survival Exploration (Foundation)
• Predict Boston Housing Prices (Foundation)
• Find Donors for CharityML (Supervised)
• Create Customer Segments (Unsupervised)
• Train a Smartcab to Drive (Reinforcement)
• Dog Breed Classifier (Deep Learning)
• Capstone Project

I will also make some notes, which will all be saved in Toolkits.

Prerequisites

These projects requires Python 2.7 and the following Python modules installed:

• NumPy
• Pandas
• matplotlib
• scikit-learn
• seaborn

You will also need to install and run Jupyter Notebook.

If you have not had Python installed yet, it is highly recommended to install the Anaconda distribution of Python, which already has the above packages and more included.

If there are additional modules needed for each project, it will be explained in each README.md file.

Running

In a terminal or command window, navigate to the top-level project directory and run one of the following commands:

jupyter notebook XXX.ipynb

or

ipython notebook XXX.ipynb

If there are special instructions, they will be provided in the project folder.

Author

• Guanrong Fu
• Udacity - Provided the template and some source codes. Details can be found here

Certificate