Scikit-learn courses can help you learn data preprocessing, model selection, classification techniques, and regression analysis. You can build skills in evaluating model performance, feature engineering, and implementing machine learning pipelines. Many courses introduce tools like Jupyter Notebooks and Python libraries, that support applying these skills in practical projects.

Skills you'll gain: Prompt Engineering, GitHub Copilot, Generative AI, ChatGPT, AI Integrations, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Software Documentation
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Mathematical Software, Code Reusability, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Data Analysis, Computer Programming, Model Optimization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Science, Machine Learning Algorithms, Data Analysis Software, Statistical Methods, Histogram, Data Processing, Numerical Analysis, Data Import/Export, Probability Distribution, Linear Algebra, Classification Algorithms
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Rmarkdown, Data Presentation, Machine Learning, Model Optimization
Mixed · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Statistical Methods, Data Presentation, Analysis, Probability & Statistics, Data Cleansing, Applied Machine Learning, Analytics, Machine Learning, Data Preprocessing, Data Processing, Model Training, Correlation Analysis, Decision Tree Learning, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms
Advanced · Course · 1 - 4 Weeks

Logical Operations
Skills you'll gain: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Python Programming, Data Management, Virtual Machines, Virtualization and Virtual Machines, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, Extract, Transform, Load, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Architecture, Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Computer Programming, Scripting Languages, Scripting, Programming Principles, Data Manipulation, Data Management, Database Management, Package and Software Management, File Management, File I/O, Databases
Beginner · Course · 1 - 4 Weeks

Deep Teaching Solutions
Skills you'll gain: Prompt Engineering, Multimodal Prompts, Creative Thinking, AI Personalization, AI literacy, ChatGPT, Ideation, Creativity, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Image Analysis, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Data Preprocessing, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, Model Training, Decision Tree Learning, NumPy, Pandas (Python Package)
Beginner · Course · 1 - 3 Months