Ementorhub

What you'll learn

Train and evaluate linear regression models.

Train binary and multi-class classification models.

Evaluate and tune classification models to improve their performance.

Train and evaluate clustering models to find useful patterns in unsupervised data.

Skills you'll gain

Unsupervised Learning

Machine Learning Algorithms

Statistical Methods

Classification And Regression Tree (CART)

Regression Analysis

Algorithms

Feature Engineering

Supervised Learning

Machine Learning

Linear Algebra

Predictive Modeling

Performance Tuning

There are 6 modules in this course

This third course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate introduces you to some of the major machine learning algorithms that are used to solve the two most common supervised problems: regression and classification, and one of the most common unsupervised problems: clustering. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course. Ultimately, this course begins a technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models.

Build Regularized and Iterative Linear Regression Models

Train Classification Models

Evaluate and Tune Classification Models

Build Clustering Models

Apply What You've Learned