Ultimate ML Bootcamp #5: Classification & Regression Trees

Ultimate ML Bootcamp #5: Classification & Regression Trees, available at Free, with 16 lectures, and has 4 subscribers.

You will learn about Grasp the fundamental concepts and mechanics behind Classification and Regression Trees. Become proficient in evaluating model performance using metrics like Gini impurity and entropy. Learn to preprocess data effectively for optimal CART model performance. Apply CART to real-world scenarios, interpreting and improving model outcomes through practical examples. This course is ideal for individuals who are For intermediate learners in data science and machine learning who are looking to deepen their understanding of predictive modeling techniques or Ideal for those who have a foundational knowledge of Python and statistics but wish to expand their skills in specific machine learning algorithms. It is particularly useful for For intermediate learners in data science and machine learning who are looking to deepen their understanding of predictive modeling techniques or Ideal for those who have a foundational knowledge of Python and statistics but wish to expand their skills in specific machine learning algorithms.

Enroll now: Ultimate ML Bootcamp #5: Classification & Regression Trees

Summary

Title: Ultimate ML Bootcamp #5: Classification & Regression Trees

Price: Free

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

• Grasp the fundamental concepts and mechanics behind Classification and Regression Trees.
• Become proficient in evaluating model performance using metrics like Gini impurity and entropy.
• Learn to preprocess data effectively for optimal CART model performance.
• Apply CART to real-world scenarios, interpreting and improving model outcomes through practical examples.

Who Should Attend

• For intermediate learners in data science and machine learning who are looking to deepen their understanding of predictive modeling techniques
• Ideal for those who have a foundational knowledge of Python and statistics but wish to expand their skills in specific machine learning algorithms.

Target Audiences

• For intermediate learners in data science and machine learning who are looking to deepen their understanding of predictive modeling techniques
• Ideal for those who have a foundational knowledge of Python and statistics but wish to expand their skills in specific machine learning algorithms.