Introduction to Machine Learning with Scikit-Learn

Learn the three main techniques of machine learning: regression, classification and clustering, using Scikit-Learn

Created by: Francesco Mosconi
CEO at Catalit & Zero to Deep Learning

Created by: Data Weekends
Learn the essentials of Data Science in just one weekend

What Will I Learn?

• In this course you will learn: Machine Learning and Scikit-Learn
• You will be able to recognize problems that can be solved with Machine Learning
• Select the right technique (is it a classification problem? a regression? needs preprocessing?)
• Train and evaluate regression models with Scikit-Learn to forecast numerical quantities.
• Train and evaluate classification models with Scikit-Learn to predict categories.
• Use clustering techniques to group your data and discover insights.

Requirements

• Previous experience programming in Python is advised
• Our free Pandas Masterclass can be useful

Target audience

• Python enthusiasts that want to deepen their knowledge of machine learning
• Software engineers looking to add machine learning skills to their toolbelt
• College students looking for hands-on practice in machine learning
• Data Analysts looking to expand their skills into machine learning