13 docs tagged with "Scikit-learn"

Learn how to build a simple classification model using the K-Nearest Neighbors algorithm in Scikit-learn.

Learn what features and labels are in a dataset and how they are used in machine learning.

Learn how to measure the performance of classification models using Scikit-learn.

Learn how to measure the performance of regression models using Scikit-learn.

Learn why and how to scale features and preprocess data for machine learning in Scikit-learn.

Learn the basics of clustering and how K-Means groups similar data points without labels.

Learn what Scikit-learn is, its main features, and why it's essential for machine learning in Python.

Learn how the machine learning lifecycle works and see it in action with Scikit-learn.

Learn how to build and evaluate regression models using scikit-learn's linear regression tools.

Learn how to split datasets into training and testing sets for machine learning models in Scikit-learn.

Understand the main stages of a machine learning project, from data collection to deployment.

Learn the basics of supervised and unsupervised learning through simple Scikit-learn examples.

Learn how to select the best model and evaluate its performance using cross-validation techniques.