Python: Real-World Data Science

Link to the GitHub Repository containing the code examples and additional

material: [https://github.com/rasbt/python-machi...](https://github.com/rasbt

/python-machine-learning-book)

Many of the most innovative breakthroughs and exciting new technologies can be

attributed to applications of machine learning. We are living in an age where

data comes in abundance, and thanks to the self-learning algorithms from the

field of machine learning, we can turn this data into knowledge. Automated

speech recognition on our smart phones, web search engines, e-mail spam

filters, the recommendation systems of our favorite movie streaming services –

machine learning makes it all possible.

Thanks to the many powerful open-source libraries that have been developed in

recent years, machine learning is now right at our fingertips. Python provides

the perfect environment to build machine learning systems productively.

This book will teach you the fundamentals of machine learning and how to

utilize these in real-world applications using Python. Step-by-step, you will

expand your skill set with the best practices for transforming raw data into

useful information, developing learning algorithms efficiently, and evaluating

results.

You will discover the different problem categories that machine learning can

solve and explore how to classify objects, predict continuous outcomes with

regression analysis, and find hidden structures in data via clustering. You

will build your own machine learning system for sentiment analysis and

finally, learn how to embed your model into a web app to share with the world