Skip to main content

course

Model Validation in Python

Intermediate
Updated 01/2025
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
PythonMachine Learning4 hours15 videos47 exercises3,700 XP24,977Statement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

Course Description

Machine learning models are easier to implement now more than ever before. Without proper validation, the results of running new data through a model might not be as accurate as expected. Model validation allows analysts to confidently answer the question, how good is your model? We will answer this question for classification models using the complete set of tic-tac-toe endgame scenarios, and for regression models using fivethirtyeight’s ultimate Halloween candy power ranking dataset. In this course, we will cover the basics of model validation, discuss various validation techniques, and begin to develop tools for creating validated and high performing models.

Prerequisites

Supervised Learning with scikit-learn
1

Basic Modeling in scikit-learn

Start Chapter
2

Validation Basics

Start Chapter
3

Cross Validation

Start Chapter
4

Selecting the best model with Hyperparameter tuning.

Start Chapter
Model Validation in Python
Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Enroll now

Join over 15 million learners and start Model Validation in Python today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.