Model Validation in Python

Engineering and Technology

Short Description

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Long Description

Machine learning models have become increasingly accessible for implementation. However, it is crucial to validate these models to ensure accurate results when processing new data. Model validation enables analysts to confidently assess the effectiveness of their models. In this course, we will focus on classification models using the comprehensive tic-tac-toe endgame scenarios dataset, as well as regression models utilizing fivethirtyeight's ultimate Halloween candy power ranking dataset. Throughout the course, we will explore the fundamentals of model validation, explore different validation techniques, and equip participants with the necessary tools to develop validated and high-performing models.

Related Courses

Model Validation in Python

by DataCamp

Learn the basics of model validation, validation techniques, and begin creating validated and high p...

Winning a Kaggle Competition in Python

by DataCamp

Learn how to approach and win competitions on Kaggle.

Modeling with tidymodels in R

by DataCamp

Learn to streamline your machine learning workflows with tidymodels.

HR Analytics: Predicting Employee Churn in R

by DataCamp

Predict employee turnover and design retention strategies.

MLOps Deployment and Life Cycling

by DataCamp

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of...

RNA-Seq with Bioconductor in R

by DataCamp

Use RNA-Seq differential expression analysis to identify genes likely to be important for different...

Equity Valuation in R

by DataCamp

Learn the fundamentals of valuing stocks.

Bond Valuation and Analysis in R

by DataCamp

Learn to use R to develop models to evaluate and analyze bonds as well as protect them from interest...

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

by DataCamp

GAMs model relationships in data as nonlinear functions that are highly adaptable to different types...

Choice Modeling for Marketing in R

by DataCamp

Learn to analyze and model customer choice data in R.

Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

Learn more