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Want to be notified of new releases in Prooffreader/intro machine learning? . Introduction to Machine Learning. From 2015, a series of Jupyter Notebooks and accompanying slideshow and video.

Introduction to Machine Learning.

Introducción a Machine Learning. En este repositorio hay notebooks de Jupyter para mi clase de Introducción a Machine Learning en la Universidad del Desarrollo. Como material utilizo los notebooks creados por Jake Vanderplas en su libro Python Data Science Handbook, traducidos al castellano, y en algunos casos, con datos chilenos que permiten entender mejor el contexto de los algoritmos.

No previous knowledge of pattern recognition or machine learning concepts is assumed.

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Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects. This program is intended for students with experience in Python, who have not yet studied Machine Learning topics. Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms. 3 months to complete.