Machine Learning for Data Analysis

This course covers the basics of machine learning and how it can be used for dat

Course Overview

This course covers the basics of machine learning and how it can be used for data analysis. Students will learn how to apply machine learning algorithms to real-world datasets using popular tools such as Python and scikit-learn.

What will you learn?

• ['Introduction to machine learning
• \r\nSupervised and unsupervised learning
• \r\nRegression analysis
• \r\nClassification algorithms
• \r\nClustering algorithms
• \r\nFeature selection and feature engineering
• \r\nModel evaluation and selection
• ']

Requirements

• ['Basic programming knowledge'
• 'familiarity with linear algebra and calculus']