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Business Analytics Python
Learn how to make business analytics using Python. This book covers the following PCA, Regression Analysis, Logistic Regression, Decision Trees, Time Series Forecasting, Association Rules, Collaborative Filtering, Causal Models, and A/B Testing.
The data sets used include examples from Apple, Google and Microsoft in the global PC industry, Netflix, fashion online retailers, and CSR analytics.
The Python code and data necessary to replicate all the models presented are included in each chapter so that readers can run the code while looking through the accompanying explanations.
The data sets used include examples from Apple, Google and Microsoft in the global PC industry, Netflix, fashion online retailers, and CSR analytics.
The Python code and data necessary to replicate all the models presented are included in each chapter so that readers can run the code while looking through the accompanying explanations.
149 pages, Paperback
Published May 26, 2023
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