Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Explore the Scikit-learn Course Catalog
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Unsupervised Learning
- Status: Free Trial
Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management
- Status: Free Trial
Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling
- Status: Free Trial
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering
- Status: New
Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization Software, Scatter Plots, Data Manipulation, Scikit Learn (Machine Learning Library), Data Science, Statistical Methods, Data Analysis Software, Python Programming, Machine Learning, Probability Distribution, Classification And Regression Tree (CART), Linear Algebra
Coursera Project Network
Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Random Forest Algorithm
- Status: NewStatus: Free Trial
Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis
- Status: Free Trial
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis
- Status: Free Trial
Skills you'll gain: Prompt Engineering, Large Language Modeling, PyTorch (Machine Learning Library), Unsupervised Learning, Generative AI, Keras (Neural Network Library), Supervised Learning, Feature Engineering, Reinforcement Learning, Deep Learning, Natural Language Processing, Generative AI Agents, Applied Machine Learning, Image Analysis, Data Manipulation, Tensorflow, OpenAI, Verification And Validation, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library)
- Status: Free Trial
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm
- Status: Free Trial
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures
- Status: Free Trial
Google
Skills you'll gain: Programming Principles, Python Programming, Computer Programming, Computational Thinking, Algorithms, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment
In summary, here are 10 of our most popular scikit-learn courses
- Scikit-Learn For Machine Learning Classification Problems: Coursera Project Network
- Python for Data Science, AI & Development: IBM
- Machine Learning with Python: IBM
- Machine Learning: DeepLearning.AI
- NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
- Scikit-Learn to Solve Regression Machine Learning Problems: Coursera Project Network
- Mastering Machine Learning Algorithms using Python: Packt
- Applied Data Science with Python: University of Michigan
- IBM AI Engineering: IBM
- Applied Machine Learning in Python: University of Michigan