Statistical Methods for Machine Learning: Discover How to Transform Data into Knowledge with Python Jason Brownlee

The Python ecosystem with scikit-learn and pandas is required for operational machine learning.

Python is the rising platform for professional machine learning because you can use the same code to explore different models in R&D then deploy it directly to production.

In this book, you will discover the step-by-step process that you can use to get started and become good at machine learning for predictive modeling with the Python ecosystem including:

• Python 3.6 (or 2.7)
• SciPy
• NumPy
• Matplotlib
• Pandas
• Scikit-Learn

This book will lead you from being a developer who is interested in machine learning with Python to a developer who has the resources and capability to work through a new dataset end-to-end using Python and develop accurate predictive models.

After reading this ebook you will know…

• How to deliver a model that can make accurate predictions on new unseen data.
• How to complete all subtasks of a predictive modeling problem with Python.
• How to learn new and different techniques in Python and SciPy.
• How to work through a small to medium sized dataset end-to-end.
• How to get help with Python machine learning.

You will know which Python modules, classes and functions to use for common machine learning tasks.

From here you can start to dive into the specifics of the functions, techniques and algorithms used with the goal of learning how to use them better in order to deliver more accurate predictive models, more reliably in less time.