Data science from scratch : first principles with Python / Joel Grus.
Material type:
TextPublication details: Sebastopol, CA : O'Reilly Media, c2019.Edition: Second editionDescription: xvii, 384 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9781492041139
- 005.7565 23 GRU
- QA76.73.P98 G78 2019
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| 005.7565 FLY Microsoft Access 2002 : | 005.7565 GRU Data science from scratch : first principles with Python / | 005.7565 GRU Data science from scratch : first principles with Python / | 005.7565 GRU Data science from scratch : first principles with Python / | 005.7565 MAY Data quality assessment / | 005.7565 MAY Data quality assessment / | 005.7565 MAY Data quality assessment / |
Includes bibliographical references and index.
Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.
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