Adaptive foreground-background segmentation using Gaussian Mixture Models (GMMs)

在该项目中，你将使用强化学习算法，实现一个自动走迷宫机器人。

Personal capstone project for Udacity's Machine Learning Nanodegree (MLND).

Udacity机器学习进阶，非监督学习，创建用户分类

使用深度学习方法识别一张图片是猫还是狗。

Udacity机器学习入门 探索数据集

在这个项目中，你将使用分类模型通过原料的不同组合预测所属的世界菜系。你将使用之前课程中所学习到的模型训练、测试技巧，并得到最终的分数，上传到 Kaggle 网站上。

Udacity机器学习进阶，为CharityML寻找捐献者

Capstone Nanodegree Project, supervised learning regression, testing several algorithms like XGBoost

Udacity Machine Learning Nanodegree Capstone - Micromouse

p0-Titanic - Udacity Machine Learning nanodegree (MLnd)

Boston Housing Prices -- Udacity MLND

Finding Charity Donors -- Udacity MLND

In this project I will employ several supervised algorithms to accurately model individuals' income using data collected from the 1994 U.S. Census.

Udacity Machine Learning Nanodegree project - Predicting Boston Housing Prices

Creating Customer Segments -- Udacity MLND

Projects for Udacity Machine Learning Nanodegree.

Udacity Machine Learning Nanodegree project - Smartcab

Introductory Notes and Project

Implementing an image classifier with TensorFlow to recognize different species of flowers.