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Home > Applied Supervised Learning with Python: Use Scikit-Learn to Build Predictive Models from Real-world Datasets and Prepare Yourself for the Future of Machine Learning

Applied Supervised Learning with Python: Use Scikit-Learn to Build Predictive Models from Real-world Datasets and Prepare Yourself for the Future of Machine Learning


Book Informaton

Applied Supervised Learning with Python: Use Scikit-Learn to Build Predictive Models from Real-world Datasets and Prepare Yourself for the Future of Machine Learning

Author

Benjamin Johnston; Ishita Mathur

Year of Publication

2019

Publisher

Packt Publishing

Pages

404

Language

en

ISBN

1789954924, 9781789954920

ARI Id

1673544579482


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Showing 1 to 20 of 142 entries
Chapters/HeadingsAuthor(s)PagesInfo
Chapter 1: Python Machine Learning Toolkit
Supervised Machine Learning
When to Use Supervised Learning
Why Python?
Jupyter Notebooks
Exercise 1: Launching a Jupyter Notebook
Exercise 2: Hello World
Exercise 3: Order of Execution in a Jupyter Notebook
Exercise 4: Advantages of Jupyter Notebooks
Python Packages and Modules
pandas
Loading Data in pandas
Exercise 5: Loading and Summarizing the Titanic Dataset
Exercise 6: Indexing and Selecting Data
Exercise 7: Advanced Indexing and Selection
pandas Methods
Exercise 8: Splitting, Applying, and Combining Data Sources
Lambda Functions
Exercise 9: Lambda Functions
Data Quality Considerations
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 142 entries