Data preprocessing involves several steps, including data collection, data analysis, data cleaning, data normalization, and data transformation. The first step in data preprocessing is data collection. Let's take a look.
Data preprocessing
by Suresh Kumar Mukhiya,
Usman Ahmed
Hands-On Exploratory Data Analysis with Python
- 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
Data preprocessing
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