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Packt - Python Data Science Essentials
magnet:?xt=urn:btih:3e317d67db342412e77b2fc4f7dae2f6dd93da51&dn=Packt - Python Data Science Essentials
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文件列表详情
3e317d67db342412e77b2fc4f7dae2f6dd93da51
infohash:
25
文件数量
620.27 MB
文件大小
2019-2-27 10:23
创建日期
2024-11-11 03:01
最后访问
相关分词
Packt
-
Python
Data
Science
Essentials
2.Data Munging/07.Data Loading and Preprocessing.mp4 70.02 MB
1.First Step/02.Introducing Data Science and Python.mp4 5.78 MB
1.First Step/03.Getting Ready.mp4 13.13 MB
1.First Step/04.A Glance at the Essential Packages.mp4 6.12 MB
1.First Step/05.Introducing the Jupyter Notebook.mp4 44.37 MB
1.First Step/06.Scikit-learn Toy Datasets.mp4 50.22 MB
1.First Step/01.The Course Overview.mp4 12.23 MB
2.Data Munging/08.Working with Categorical and Text Data.mp4 42.91 MB
2.Data Munging/09.Creating NumPy Arrays.mp4 43.11 MB
2.Data Munging/10.NumPy's Fast Operations and Computations.mp4 18.86 MB
3.The Data Pipeline/11.Introducing EDA.mp4 14.33 MB
3.The Data Pipeline/12.Building New Features.mp4 16.41 MB
3.The Data Pipeline/13.Dimensionality Reduction.mp4 27.95 MB
3.The Data Pipeline/14.The Detection and Treatment of Outliers.mp4 24.39 MB
3.The Data Pipeline/15.Validation Metrics.mp4 24.83 MB
3.The Data Pipeline/16.Testing and Validating.mp4 25.96 MB
3.The Data Pipeline/17.Cross-Validation.mp4 25.8 MB
3.The Data Pipeline/18.Hyperparameter Optimization.mp4 25.89 MB
3.The Data Pipeline/19.Feature Selection.mp4 21.6 MB
3.The Data Pipeline/20.Wrapping Everything in a Pipeline.mp4 24.79 MB
4.Machine Learning/21.Preparing Tools and Datasets.mp4 10.93 MB
4.Machine Learning/22.Linear and Logistic Regression.mp4 15.89 MB
4.Machine Learning/23.Naive Bayes.mp4 12.01 MB
4.Machine Learning/24.K-Nearest Neighbors.mp4 7.23 MB
4.Machine Learning/25.An Overview of Unsupervised Learning.mp4 35.51 MB
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