| Murach's Python for Data Science, 2nd Ed (Murach) |
| Wednesday, 05 June 2024 | |||
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This book shows how to use Python libraries to get, clean, prepare, and analyze data at a professional level. Scott McCoy starts by showing how to use Pandas for data analysis and Seaborn for data visualization. He then goes on to show how to use Scikit-learn to create regression models that can be used to make predictions. To tie everything together, this book contains four realistic analyses that use real-world data. <ASIN:1943873178 >
Author: Scott McCoy
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