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.

University of California San Diego
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation
Mixed · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Unstructured Data
Intermediate · 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, Data Processing, PySpark, Large Language Modeling, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence
Intermediate · Course · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Validation, Data Quality
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Wrangling, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Data Processing, Data Access, Data Structures, Numerical Analysis
Beginner · Course · 1 - 4 Weeks