Machine Learning with Python

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Created by: Harrison Kinsley

Produced in 2016

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Course Description

The objective of this course is to give you a holistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms.In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks.

Intermediate Level

Time: 19h

Instructor Details

Harrison Kinsley

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Harrison Kinsley is a husband, runner, friend of all dogs, programmer, teacher, and entrepreneur.He likes to learn and build with technology.He is a founder of multiple businesses, all of which leverage the Python programming language. From using Flask web development on all of his business sites, to Scikit-Learn and Pandas for machine learning and data analysis with Ensmo.com, to the Natural Language Toolkit for natural language processing with Sentdex.com, to teaching a massive variety of Python programming topics on PythonProgramming.net, Python and programming is a major part of his life and work.