- Regression Analysis with Python, by Luca Massaron, Alberto Boschetti, Packt Publishing, February 29, 2016
- Statistics for Machine Learning, by Pratap Dangeti, Packt Publishing, July 20, 2017
- Statistics for Data Science, by James D. Miller, Packt Publishing, November 17, 2017
- Data Science Algorithms in a Week - Second Edition, by Dávid Natingga, Packt Publishing, October 31, 2018
- Machine Learning with scikit-learn Quick Start Guide, by Kevin Jolly, Packt Publishing, October 30, 2018
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: The Fundamentals of EDA
- Exploratory Data Analysis Fundamentals
- Visual Aids for EDA
- EDA with Personal Email
- Data Transformation
- Technical requirements
- Background
- Merging database-style dataframes
- Transformation techniques
- Benefits of data transformation
- Summary
- Further reading
- Section 2: Descriptive Statistics
- Descriptive Statistics
- Grouping Datasets
- Correlation
- Time Series Analysis
- Section 3: Model Development and Evaluation
- Hypothesis Testing and Regression
- Model Development and Evaluation
- EDA on Wine Quality Data Analysis
- Appendix
- Other Books You May Enjoy
Further reading
-
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