资源简介
Chapter 1: Laying the Foundation for Reproducible Data Analysis Introduction
Chapter 2: Creating Attractive Data Visualizations
Chapter 3: Statistical Data Analysis and Probability
Chapter 4: Dealing with Data and Numerical Issues
Chapter 5: Web Mining, Databases, and Big Data
Chapter 6: Signal Processing and Timeseries
Chapter 7: Selecting Stocks with Financial Data Analysis
Chapter 8: Text Mining and Social Network Analysis
Chapter 9: Ensemble Learning and Dimensionality Reduction
Chapter 10: Evaluating Classifiers, Regressors, and Clusters
Chapter 11: Analyzing Images
Chapter 12: Parallelism and Performance
代码片段和文件信息
属性 大小 日期 时间 名称
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文件 9508680 2016-07-28 18:08 Python Data Analysis Cookbook by Ivan Idris.pdf
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9508680 1
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文件 9508680 2016-07-28 18:08 Python Data Analysis Cookbook by Ivan Idris.pdf
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9508680 1
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