Packt - Python Data Science Essentials
File List
- 2.Data Munging/07.Data Loading and Preprocessing.mp4 70.0 MB
- 1.First Step/06.Scikit-learn Toy Datasets.mp4 50.2 MB
- 1.First Step/05.Introducing the Jupyter Notebook.mp4 44.4 MB
- 2.Data Munging/09.Creating NumPy Arrays.mp4 43.1 MB
- 2.Data Munging/08.Working with Categorical and Text Data.mp4 42.9 MB
- 4.Machine Learning/25.An Overview of Unsupervised Learning.mp4 35.5 MB
- Exercise Files/code_34022.zip 30.1 MB
- 3.The Data Pipeline/13.Dimensionality Reduction.mp4 27.9 MB
- 3.The Data Pipeline/16.Testing and Validating.mp4 26.0 MB
- 3.The Data Pipeline/18.Hyperparameter Optimization.mp4 25.9 MB
- 3.The Data Pipeline/17.Cross-Validation.mp4 25.8 MB
- 3.The Data Pipeline/15.Validation Metrics.mp4 24.8 MB
- 3.The Data Pipeline/20.Wrapping Everything in a Pipeline.mp4 24.8 MB
- 3.The Data Pipeline/14.The Detection and Treatment of Outliers.mp4 24.4 MB
- 3.The Data Pipeline/19.Feature Selection.mp4 21.6 MB
- 2.Data Munging/10.NumPy's Fast Operations and Computations.mp4 18.9 MB
- 3.The Data Pipeline/12.Building New Features.mp4 16.4 MB
- 4.Machine Learning/22.Linear and Logistic Regression.mp4 15.9 MB
- 3.The Data Pipeline/11.Introducing EDA.mp4 14.3 MB
- 1.First Step/03.Getting Ready.mp4 13.1 MB
- 1.First Step/01.The Course Overview.mp4 12.2 MB
- 4.Machine Learning/23.Naive Bayes.mp4 12.0 MB
- 4.Machine Learning/21.Preparing Tools and Datasets.mp4 10.9 MB
- 4.Machine Learning/24.K-Nearest Neighbors.mp4 7.2 MB
- 1.First Step/04.A Glance at the Essential Packages.mp4 6.1 MB
- 1.First Step/02.Introducing Data Science and Python.mp4 5.8 MB
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