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: Predictive Modeling, Data Preprocessing, Django (Web Framework), Plot (Graphics), Model Training, Model Evaluation, Machine Learning Methods, File I/O, Application Programming Interface (API), Databases, Development Environment, Data Science, Web Applications, Hypertext Markup Language (HTML), Authorization (Computing), Code Reusability, Integrated Development Environments, Software Installation, Style Guides, Data Validation
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Model Deployment, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification Algorithms, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, Data Preprocessing, Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Data Import/Export, Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Model Training, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Random Forest Algorithm
★ 4.8 (470) · Intermediate · Course · 1 - 3 Months

O.P. Jindal Global University
★ 3.9 (9) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Model Training, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Regression Analysis
★ 4.5 (116) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Jupyter, R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Data Science, Cloud Hosting, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Development Environment, Query Languages, Python Programming
★ 4.5 (30K) · Beginner · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Natural Language Processing, Data Preprocessing, Pandas (Python Package), Big Data
★ 4.4 (27) · Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Python Programming, Logistic Regression, Model Optimization, Regression Analysis
★ 4.9 (33K) · Beginner · Course · 1 - 4 Weeks

Deep Teaching Solutions
Skills you'll gain: Prompt Engineering, Creative Thinking, AI Personalization, AI powered creativity, ChatGPT, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Artificial Intelligence, Artificial Neural Networks
★ 4.8 (565) · Beginner · Course · 1 - 4 Weeks

University of California San Diego
Skills you'll gain: Bioinformatics, Python Programming, Biology
★ 4.2 (1.6K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Data Validation, Data Import/Export, Data Analysis
Mixed · Course · 1 - 4 Weeks