What this book covers
Chapter 1, Predict the Class of a Flower from the Iris Dataset, focuses on building a machine learning model leveraging a time-tested statistical method based on regression. The chapter draws the reader into data processing, all the way to training and testing a relatively simple machine learning model.
Chapter 2, Build a Breast Cancer Prognosis Pipeline with the Power of Spark and Scala, taps into a publicly available breast cancer dataset. It evaluates various feature selection algorithms, transforms data, and builds a classification model.
Chapter 3, Stock Price Predictions, says that stock price prediction can be an impossible task. In this chapter, we take a new approach. Accordingly, we build and train a neural ...
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