preface getting started with python machine learning machine learning and python the dream team what the book will teach you (and what it will notwhat to do when you are stuck getting started introduction to numpyscipyand matplotlib installing python chewing data efficiently with numpy and intelligently with scipy learning numpy learning scipy our first (tinymachine learning application reading in the data preprocessing and cleaning the data choosing the right model and learning algorithm summary indexing handling non-existing values comparing runtime behaviors before building our first model starting with simple straight line towards some advanced stuff stepping back to go forward another look at our data training and testing answering our initial question learning how to classify with real-world examples the iris dataset the first step is visualization building our first classification model evaluation holding out data and cross-validation