• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    公众号

aws-samples/aws-machine-learning-university-accelerated-tab: Machine Learning Un ...

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

aws-samples/aws-machine-learning-university-accelerated-tab

开源软件地址(OpenSource Url):

https://github.com/aws-samples/aws-machine-learning-university-accelerated-tab

开源编程语言(OpenSource Language):

Jupyter Notebook 100.0%

开源软件介绍(OpenSource Introduction):

logo

Machine Learning University: Accelerated Tabular Data Class

This repository contains slides, notebooks, and datasets for the Machine Learning University (MLU) Accelerated Tabular Data class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with tabular data (spreadsheet-like tables), learn about widely used Machine Learning techniques for tabular data, and apply them to real-world problems.

YouTube

Watch all Tabular Data class video recordings in this YouTube playlist from our YouTube channel.

Playlist

Course Overview

There are three lectures and one final project for this class. Lecture 1

title studio lab
Introduction to ML -
Sample ML Model -
Model Evaluation Open In Studio Lab
Exploratory Data Analysis Open In Studio Lab
K Nearest Neighbors (KNN) Open In Studio Lab
Final Project Open In Studio Lab

Lecture 2

title studio lab
Feature Engineering Open In Studio Lab
Tree-based Models Open In Studio Lab
Bagging -
Hyperparameter Tuning -
AWS AI/ML Services Open In Studio Lab

Lecture 3

title studio lab
Optimization -
Regression Models -
Boosting -
Neural Networks NN Open In Studio Lab
MXNet Open In Studio Lab
AutoML Open In Studio Lab

Final Project: Practice working with a "real-world" tabular dataset for the final project. Final project dataset is in the data/final_project folder. For more details on the final project, check out this notebook.

Interactives/Visuals

Interested in visual, interactive explanations of core machine learning concepts? Check out our MLU-Explain articles to learn at your own pace!

Contribute

If you would like to contribute to the project, see CONTRIBUTING for more information.

License

The license for this repository depends on the section. Data set for the course is being provided to you by permission of Amazon and is subject to the terms of the Amazon License and Access. You are expressly prohibited from copying, modifying, selling, exporting or using this data set in any way other than for the purpose of completing this course. The lecture slides are released under the CC-BY-SA-4.0 License. The code examples are released under the MIT-0 License. See each section's LICENSE file for details.




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap