2016 | English | PDF | ISBN: N/A | 179 Page
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 mega Ebook written in the friendly Machine Learning Mastery style that you’re used to, learn exactly how to get started and apply machine learning using the Python ecosystem. You get:

178 Page PDF Ebook.
74 Python Recipes using scikit-learn and Pandas.
16 Step-by-Step Lessons.
3 End-to-End Projects.

Machine Learning Mastery with Python is for Developers
….with a little Background in Machine Learning
…and LOTS of Interest in Making Accurate Predictions and Delivering Results
I have carefully designed this Ebook for developers that already know a little background in machine learning and who are interested in discovering how to make accurate predictions and deliver results with machine learning on the Python ecosystem.

Introducing your guide to applied machine learning with Python.

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.

Harness The Rising Power of Python for Machine Learning
The Python ecosystem is growing and may become the dominant platform for machine learning.

The reason is because Python is a general purpose programming language (unlike R or Matlab). This means that you can use the same code for research and development to figure out what model to run as you can in production.

The cost and maintenance efficiencies and benefits of this fact cannot be understated.

Everything You Need To Know to Apply Machine Learning in Python
You Will Get:
16 Lessons on Python Best Practices for Machine Learning Tasks and
3 Project Tutorials that Tie it All Together
This Ebook was written around two themes designed to get you started and using Python for applied machine learning effectively and quickly.