Underfitting and Overfitting
Underfitting and Overfitting Data Science Project
Classification in Depth with Scikit-Learn

Underfitting and Overfitting

During this project, you'll learn about bias and variance, two relevant concepts related to overfitting and underfitting. You will learn how to diagnose and evaluate your model to achieve the best results.
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Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

multiplechoice

Did you find any missing value?

codevalidated

Visualize the data using a pairplot to gain insights into the distribution and relationships between variables.

Store the figure in the variable p

multiplechoice

What is the mean of 'Sepal.Length' for the species virginica?

multiplechoice

What is the correlation between 'Sepal.Length' and 'Petal_width'?

multiplechoice

What is the optimal maximum depth for the previous example

multiplechoice

Three different models are trained, each with a different value of the C parameter: C=1, C=0.1, and C=0.01. Determine which one of the boundaries belongs to each C value.

Underfitting and Overfitting Underfitting and Overfitting
Author

Verónica Barraza

This project is part of

Classification in Depth with Scikit-Learn

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