种子简介
种子名称:
[FreeCoursesOnline.Me] [Packt] Hands-On Problem Solving for Machine Learning [FCO]
文件类型:
视频
文件数目:
19个文件
文件大小:
828.95 MB
收录时间:
2019-4-7 19:50
已经下载:
3次
资源热度:
220
最近下载:
2025-1-18 04:41
下载BT种子文件
下载Torrent文件(.torrent)
立即下载
磁力链接下载
magnet:?xt=urn:btih:69c4213c98bfb2a9eaf090d82ca930a3d131c0d4&dn=[FreeCoursesOnline.Me] [Packt] Hands-On Problem Solving for Machine Learning [FCO]
复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。
喜欢这个种子的人也喜欢
种子包含的文件
[FreeCoursesOnline.Me] [Packt] Hands-On Problem Solving for Machine Learning [FCO].torrent
1.Working with Machine Learning/01.The Course Overview.mp424.23MB
1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4108.52MB
1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp434.58MB
1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp430.94MB
2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp430.57MB
2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp436.56MB
2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp430.95MB
3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp431.56MB
3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp431.75MB
3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp432.76MB
4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp438.33MB
4.Logistic Regression Classify/12.Understanding Logistic Regression.mp423.99MB
4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp436.94MB
5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp432.79MB
5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp437.05MB
5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp438.99MB
6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp437.63MB
6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp429.95MB
6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4160.87MB