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Packt - Python Data Science Essentials

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Title: PacktGroup: NOGRPSource: Packt
Info Hash
3E317D67DB342412E77B2FC4F7DAE2F6DD93DA51
Source
Unverified
Total Size
650.37 MB
Total Files
26
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
2.Data Munging/07.Data Loading and Preprocessing.mp470.02 MB
1.First Step/02.Introducing Data Science and Python.mp45.78 MB
1.First Step/03.Getting Ready.mp413.13 MB
1.First Step/04.A Glance at the Essential Packages.mp46.12 MB
1.First Step/05.Introducing the Jupyter Notebook.mp444.37 MB
1.First Step/06.Scikit-learn Toy Datasets.mp450.22 MB
1.First Step/01.The Course Overview.mp412.23 MB
2.Data Munging/08.Working with Categorical and Text Data.mp442.91 MB
2.Data Munging/09.Creating NumPy Arrays.mp443.11 MB
2.Data Munging/10.NumPy's Fast Operations and Computations.mp418.86 MB
3.The Data Pipeline/11.Introducing EDA.mp414.33 MB
3.The Data Pipeline/12.Building New Features.mp416.41 MB
3.The Data Pipeline/13.Dimensionality Reduction.mp427.95 MB
3.The Data Pipeline/14.The Detection and Treatment of Outliers.mp424.39 MB
3.The Data Pipeline/15.Validation Metrics.mp424.83 MB
3.The Data Pipeline/16.Testing and Validating.mp425.96 MB
3.The Data Pipeline/17.Cross-Validation.mp425.8 MB
3.The Data Pipeline/18.Hyperparameter Optimization.mp425.89 MB
3.The Data Pipeline/19.Feature Selection.mp421.6 MB
3.The Data Pipeline/20.Wrapping Everything in a Pipeline.mp424.79 MB
4.Machine Learning/21.Preparing Tools and Datasets.mp410.93 MB
4.Machine Learning/22.Linear and Logistic Regression.mp415.89 MB
4.Machine Learning/23.Naive Bayes.mp412.01 MB
4.Machine Learning/24.K-Nearest Neighbors.mp47.23 MB
4.Machine Learning/25.An Overview of Unsupervised Learning.mp435.51 MB
Exercise Files/code_34022.zip30.11 MB

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