Preface
This book is about giving you basic statistical knowledge to work with machine learning using complex algorithms to classify data, such as the K-means method. You will use an included add-in for Excel to practice the concepts of grouping statistics without the need for a deep programming background in the R language or Python.
The book covers three topics of machine learning:
- Data segmentation
- Linear regression
- Forecasts with time series
Data segmentation has many practical applications because it allows applying different strategies depending on the segment data ranges. It has applications in marketing and inventory rotation to act accordingly to the location and season of the sales.
The linear regression statistical concepts in ...
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