scikit-learn

scikit-learn

scikit-learn is a Python library for machine learning. It provides a wide range of algorithms and tools for data mining and analysis. In this skill tree, you'll learn how to use scikit-learn to build machine learning models in Python.

38 Skills|2 Courses
Quick Start with scikit-learn
Quick Start with scikit-learn
Quick Start with scikit-learn
Quick Start with scikit-learn
Beginner
19 Learned
scikit-learnMachine Learning
In this course, We will learn how to use scikit-learn to build predictive models from data. We will explore the basic concepts of machine learning and see how to use scikit-learn to solve supervised and unsupervised learning problems. We will also learn how to evaluate models, tune parameters, and avoid common pitfalls. We will work through examples of machine learning problems using real-world datasets.
15 Labs
Linear ModelsStart
Linear and Quadratic Discriminant AnalysisStart
Statistical LearningStart
Kernel Ridge RegressionStart
Supervised LearningStart
Model Selection: Choosing Estimators and Their ParametersStart
Support Vector MachinesStart
Stochastic Gradient DescentStart
Unsupervised Learning: Seeking Representations of the DataStart
Stochastic Gradient DescentStart
Working With Text DataStart
Gaussian ProcessesStart
Cross DecompositionStart
Naive Bayes ExampleStart
Decision TreesStart
scikit-learn Practice Plus
scikit-learn Practice Plus
Beginner
0 Learned
scikit-learn
In this course, You will practice more labs of scikit-learn. This will help you to master the skills more deeply.
Lab
Unlock Your scikit-learn Skills
Completed 0
Locked 38