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Learning Data Science: Processing, Exploring, Visualizing, and Modeling Data with Python

39.99 €
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Learning Data Science: Processing, Exploring, Visualizing, and Modeling Data with Python
39.99 €
In basket
A practical guide to data analysis, covering the full cycle of working with information: from collecting and processing to building machine learning models. It covers working with pandas and SQL tools, as well as methods for identifying patterns and cleaning data. Various data sources are described, including text, binary, and web data. Statistical methods are covered in detail, including confidence intervals, hypothesis testing, and feature engineering. Practical examples in Python are provided from various fields, including transportation system analysis, environmental research, and veterinary analytics. The final sections are devoted to logistic regression and model optimization for text classification problems.
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