Cloud Academy - Building Machine Learning Pipelines with scikit-learn - Part One

This is a hands-on course containing demonstrations that you can follow along with to build your own machine learning models.

Understand the different preprocessing methods in scikit-learn

Perform preprocessing in a machine learning pipeline

Understand the importance of preprocessing

Understand the pros and cons of transfog original data into a machine learning pipeline

Deal with categorical variables inside a pipeline

Manage the imputation of missing values

This course is intended for anyone interested in machine learning with Python.

To get the most out of this course, you should be familiar with Python, as well as with the basics of machine learning. It's recommended that you take our Introduction to Machine Learning Concepts course before taking this one.

The resources related to this course can be found in the following GitHub repo:https://github.com/cloudacademy/ca-machine-learning-with-scikit-learn




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