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Packt - Python Data Science Essentials

File Name
Size
2.Data Munging/07.Data Loading and Preprocessing.mp4
70 MB
1.First Step/02.Introducing Data Science and Python.mp4
5.8 MB
1.First Step/03.Getting Ready.mp4
13 MB
1.First Step/04.A Glance at the Essential Packages.mp4
6.1 MB
1.First Step/05.Introducing the Jupyter Notebook.mp4
44 MB
1.First Step/06.Scikit-learn Toy Datasets.mp4
50 MB
1.First Step/01.The Course Overview.mp4
12 MB
2.Data Munging/08.Working with Categorical and Text Data.mp4
43 MB
2.Data Munging/09.Creating NumPy Arrays.mp4
43 MB
2.Data Munging/10.NumPy's Fast Operations and Computations.mp4
19 MB
3.The Data Pipeline/11.Introducing EDA.mp4
14 MB
3.The Data Pipeline/12.Building New Features.mp4
16 MB
3.The Data Pipeline/13.Dimensionality Reduction.mp4
28 MB
3.The Data Pipeline/14.The Detection and Treatment of Outliers.mp4
24 MB
3.The Data Pipeline/15.Validation Metrics.mp4
25 MB
3.The Data Pipeline/16.Testing and Validating.mp4
26 MB
3.The Data Pipeline/17.Cross-Validation.mp4
26 MB
3.The Data Pipeline/18.Hyperparameter Optimization.mp4
26 MB
3.The Data Pipeline/19.Feature Selection.mp4
22 MB
3.The Data Pipeline/20.Wrapping Everything in a Pipeline.mp4
25 MB
4.Machine Learning/21.Preparing Tools and Datasets.mp4
11 MB
4.Machine Learning/22.Linear and Logistic Regression.mp4
16 MB
4.Machine Learning/23.Naive Bayes.mp4
12 MB
4.Machine Learning/24.K-Nearest Neighbors.mp4
7.2 MB
4.Machine Learning/25.An Overview of Unsupervised Learning.mp4
36 MB
Exercise Files/code_34022.zip
30 MB