种子简介
种子名称：
Packt - Python Data Science Essentials
文件类型：
视频
文件数目：
25个文件
文件大小：
620.27 MB
收录时间：
2019-2-27 10:23
已经下载：
3次
资源热度：
162
最近下载：
2025-10-20 06:21
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种子包含的文件
Packt - Python Data Science Essentials.torrent
2.Data Munging/07.Data Loading and Preprocessing.mp470.02MB
1.First Step/02.Introducing Data Science and Python.mp45.78MB
1.First Step/03.Getting Ready.mp413.13MB
1.First Step/04.A Glance at the Essential Packages.mp46.12MB
1.First Step/05.Introducing the Jupyter Notebook.mp444.37MB
1.First Step/06.Scikit-learn Toy Datasets.mp450.22MB
1.First Step/01.The Course Overview.mp412.23MB
2.Data Munging/08.Working with Categorical and Text Data.mp442.91MB
2.Data Munging/09.Creating NumPy Arrays.mp443.11MB
2.Data Munging/10.NumPy's Fast Operations and Computations.mp418.86MB
3.The Data Pipeline/11.Introducing EDA.mp414.33MB
3.The Data Pipeline/12.Building New Features.mp416.41MB
3.The Data Pipeline/13.Dimensionality Reduction.mp427.95MB
3.The Data Pipeline/14.The Detection and Treatment of Outliers.mp424.39MB
3.The Data Pipeline/15.Validation Metrics.mp424.83MB
3.The Data Pipeline/16.Testing and Validating.mp425.96MB
3.The Data Pipeline/17.Cross-Validation.mp425.8MB
3.The Data Pipeline/18.Hyperparameter Optimization.mp425.89MB
3.The Data Pipeline/19.Feature Selection.mp421.6MB
3.The Data Pipeline/20.Wrapping Everything in a Pipeline.mp424.79MB
4.Machine Learning/21.Preparing Tools and Datasets.mp410.93MB
4.Machine Learning/22.Linear and Logistic Regression.mp415.89MB
4.Machine Learning/23.Naive Bayes.mp412.01MB
4.Machine Learning/24.K-Nearest Neighbors.mp47.23MB
4.Machine Learning/25.An Overview of Unsupervised Learning.mp435.51MB
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