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Pandas for Everyone: Python Data Analysis
Paperback
Series: Addison-Wesley Data & Analytics
DatabasesGeneral EducationProgramming
ISBN13: 9780134546933
Publisher: Addison-Wesley Professional
Published: Dec 26 2017
Pages: 416
Weight: 1.40
Height: 0.80 Width: 6.90 Depth: 9.00
Language: English
- Work with DataFrames and Series, and import or export data
- Create plots with matplotlib, seaborn, and pandas
- Combine datasets and handle missing data
- Reshape, tidy, and clean datasets so they're easier to work with
- Convert data types and manipulate text strings
- Apply functions to scale data manipulations
- Aggregate, transform, and filter large datasets with groupby
- Leverage Pandas' advanced date and time capabilities
- Fit linear models using statsmodels and scikit-learn libraries
- Use generalized linear modeling to fit models with different response variables
- Compare multiple models to select the best
- Regularize to overcome overfitting and improve performance
- Use clustering in unsupervised machine learning
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