Description: These days, data scientists and analysts are in high demand by organizations of all types. This book covers everything you need to hit the ground running with using Python for data science and analysis.
To start, it presents a crash course in using the Pandas and Seaborn libraries for data analysis and visualization. Then, it presents a thorough course in data analysis, including how to use the Scikit-learn library to create statistical models that make predictions. Finally, it presents four case studies that tie these skills together and show how theyre used in the real world.
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