Scikit Learn courses can help you learn data preprocessing, model selection, and evaluation techniques, along with supervised and unsupervised learning methods. You can build skills in feature engineering, hyperparameter tuning, and implementing algorithms like decision trees and support vector machines. Many courses also introduce tools such as Jupyter Notebooks and Python libraries, that support applying machine learning concepts and visualizing data to derive actionable insights.

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

Politecnico di Milano
Skills you'll gain: Large Language Modeling, LLM Application, Learning Strategies, Education Software and Technology, AI Personalization, AI literacy, Lifelong Learning, Human Learning, Adult Learning Principles, Student-Centred Learning, Generative AI, Critical Thinking, Goal Setting
Beginner · Course · 1 - 4 Weeks

Scrimba
Skills you'll gain: Object Oriented Programming (OOP), File I/O, Python Programming, Data Structures, Computer Programming, Software Engineering, Performance Tuning, Web Development, Performance Testing, Debugging, Web Development Tools
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Applied Machine Learning, Feature Engineering, Deep Learning, Machine Learning Algorithms, Matplotlib, Jupyter, Python Programming, Data Wrangling, Data Processing, NumPy, Data Cleansing, Model Training, Data Manipulation, Data Transformation, Artificial Neural Networks, Seaborn
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Science, Statistical Inference, Machine Learning Methods, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistical Methods, Statistics, Regression Analysis, Applied Machine Learning, Apache Hadoop, Big Data, Machine Learning Algorithms, Data Mining, Data Analysis, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Plot (Graphics), Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Graphing, Jupyter, NumPy, Performance Tuning, Javascript and jQuery, Development Environment, Python Programming, Software Installation, Distributed Computing
Mixed · Course · 1 - 3 Months

Universidad Austral
Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Machine Learning Algorithms, Software Development Life Cycle, Model Deployment
Beginner · Course · 1 - 4 Weeks

Scrimba
Skills you'll gain: Python Programming, Programming Principles, Computational Logic, Computer Programming, Web Development Tools, Web Development, Software Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Predictive Modeling, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Evaluation, Model Training
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Object Oriented Programming (OOP), Matplotlib, Plot (Graphics), Seaborn, File I/O, Data Visualization Software, NumPy, Python Programming, Code Reusability, Pandas (Python Package), Data Analysis, Program Development, Data Import/Export, Data Processing, JSON, Package and Software Management, Data Manipulation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), PyTorch (Machine Learning Library), Dashboard, Dashboard Creation, Python Programming, Interactive Data Visualization, Data Visualization Software, Pandas (Python Package), Image Analysis, Applied Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Application Development, UI Components, User Interface (UI)
Intermediate · Course · 1 - 3 Months