(ecornell) Building Predictive Machine Learning Models

In this course, you will explore some of the machine learning tools you can use to magnify the analytical power of Python data science programs. You will use the scikit-learn package ï¿1⁄2 a Python package developed for machine learning applications ï¿1⁄2 to develop predictive machine learning models. You will then practice using these models to discover new relationships and patterns in your data. These capabilities allow you to unlock additional value in your data that will aid in making predictions and, in some cases, creating new data. The course is provided by eCornell in partnership with Genashtim.

What You'll Learn

Articulate different types of machine learning problems

Use the Python scikit-learn package to train models and make predictions

Use the Python scikit-learn package for unsupervised clustering

Explore a dataset with machine learning