Step-by-Step Machine Learning with Python: Easy-to-follow examples that get you up and running with machine learning

Yuxi (Hayden) Liu

€130.99

Video Sep 2017 4hrs 56mins 1st Edition

Yuxi (Hayden) Liu

€130.99

Video Sep 2017 4hrs 56mins 1st Edition

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Key benefits

Learn the fundamentals of machine learning and build your own intelligent applications
Master the art of building your own machine learning systems with this example-based practical guide
Work with important classification and regression algorithms and other machine learning techniques

Description

Data science and machine learning are some of the top buzzwords in the technical world today. The resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This video is your entry point to machine learning. It starts with an introduction to machine learning and the Python language and shows you how to complete the necessary setup. Moving ahead, you will learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. With the help of the various projects included, you will acquire the mechanics of several important machine learning algorithms, which will no longer seem obscure. Also, you will be guided step-by-step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and master best practices for applying machine learning techniques. Throughout this course, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple Python language. Interesting and easy-to-follow examples—including news topic classification, spam email detection, online ad click-through prediction, and stock prices forecasts—will keep you glued to the screen till you reach your goal.

Who is this book for?

This course is for anyone interested in entering the data science stream with machine learning. a basic familiarity with Python is assumed.

What you will learn

Exploit the power of Python to handle data extraction, manipulation, and exploration techniques
Use Python to visualize data spread across multiple dimensions and extract useful features
Delve into the world of analytics to predict situations correctly
Implement machine learning classification and regression algorithms from scratch in Python
Be amazed to see algorithms in action
Evaluate the performance of a machine learning model and optimize it
Solve interesting, real-world problems using machine learning and Python as the journey unfolds

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