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mlnd

Here are 30 public repositories matching this topic...

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

  • UpdatedSep 6, 2018
  • Jupyter Notebook

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。

  • UpdatedMar 17, 2023
  • Jupyter Notebook

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

  • UpdatedJan 4, 2019
  • Jupyter Notebook

Udacity机器学习进阶,非监督学习,创建用户分类

  • UpdatedJul 31, 2019
  • HTML

使用深度学习方法识别一张图片是猫还是狗。

  • UpdatedJul 31, 2019
  • Jupyter Notebook

Udacity机器学习入门 探索数据集

  • UpdatedMar 23, 2018
  • Jupyter Notebook

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。

  • UpdatedJul 31, 2019
  • HTML

p0-Titanic - Udacity Machine Learning nanodegree (MLnd)

  • UpdatedMar 12, 2025
  • Jupyter Notebook

Udacity机器学习进阶,为CharityML寻找捐献者

  • UpdatedDec 4, 2018
  • HTML

Udacity MLnd - Finding donors for CharityML project

  • UpdatedMar 13, 2025
  • Jupyter Notebook

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

  • UpdatedSep 19, 2017
  • Jupyter Notebook

Udacity MLnd Boston Housing project

  • UpdatedMar 12, 2025
  • Jupyter Notebook

Boston Housing Prices -- Udacity MLND

  • UpdatedMar 29, 2018
  • Jupyter Notebook

Udacity Machine Learning Nanodegree Capstone - Micromouse

  • UpdatedMay 8, 2018
  • Python

Udacity Machine Learning Nanodegree project - Predicting Boston Housing Prices

  • UpdatedMay 8, 2018
  • HTML

Creating Customer Segments -- Udacity MLND

  • UpdatedMar 29, 2018
  • Jupyter Notebook

Finding Charity Donors -- Udacity MLND

  • UpdatedMar 29, 2018
  • Jupyter Notebook

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

  • UpdatedMay 29, 2021
  • Jupyter Notebook

Projects for Udacity Machine Learning Nanodegree.

  • UpdatedNov 22, 2022
  • HTML

Udacity Machine Learning Nanodegree project - Smartcab

  • UpdatedMay 8, 2018
  • Jupyter Notebook

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