Throughout this machine learning course, you won’t just learn how to use these models, you’ll also build an understanding of what is happening in the model training process. You’ll get an introduction to sci-kit learn, which is an open-source machine learning library for the Python programming language. Scikit learn supports many of the models and validation metrics you will learn about in this course.

By the end of this course, you’ll be able to:

• Understand and explain the basics of machine learning.
• Understand the common pitfalls in machine learning and how to avoid them.

The Program

1.  Introduction to K-Nearest Neighbors.
2. Evaluating Model Performance.
3. Multivariate K-Nearest Neighbors.
4. Hyperparameter Optimization.
5. Cross Validation.
6. Guided Project: Predicting Car Prices.

What will you learn

• How to define the basics of machine learning.
• How to avoid common pitfalls in machine learning