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: Feature Engineering, Responsible AI, Model Evaluation, Model Deployment, Technical Communication, Data Preprocessing, Data Transformation, Stakeholder Communications, Performance Analysis, Data Wrangling, Data Cleansing, Predictive Modeling, Machine Learning, Artificial Intelligence, Embeddings, Report Writing, Decision Support Systems, Scikit Learn (Machine Learning Library), Pandas (Python Package)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Machine Learning Algorithms, Pandas (Python Package), Data Analysis, AI Personalization, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, MLOps (Machine Learning Operations), Applied Machine Learning, Software Development, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Object Oriented Programming (OOP), Unsupervised Learning, Model Evaluation, Statistical Machine Learning, Recurrent Neural Networks (RNNs), Object Oriented Design, Convolutional Neural Networks, Machine Learning Methods, Plot (Graphics), Transfer Learning, Machine Learning Algorithms, Data Visualization, Natural Language Processing, Seaborn, Python Programming, Deep Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Classification And Regression Tree (CART), Dashboard Creation, Dashboard, Decision Intelligence, Descriptive Statistics, Root Cause Analysis, Data Analysis, Predictive Modeling, Advanced Analytics, Tableau Software, Scikit Learn (Machine Learning Library), Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Apache Spark, Keras (Neural Network Library), Retrieval-Augmented Generation, Reinforcement Learning, Apache Kafka, SQL
Intermediate · Specialization · 3 - 6 Months

Dartmouth College
Skills you'll gain: Predictive Modeling, Analytics, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Model Evaluation, Digital Transformation, Business Analytics, Model Training, Ethical Standards And Conduct, Data Ethics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Statistical Modeling, Data Strategy, Regression Analysis, Supervised Learning, Model Optimization
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Anomaly Detection, Fraud detection, Data Literacy, Data Visualization, Generative AI, Risk Management, Risk Mitigation, ChatGPT, Data Synthesis, Compliance Management, AI Integrations, AI Workflows, Data Pipelines, Automation, Predictive Analytics
★ 4.7 (6) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
★ 4.2 (17) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Decision Intelligence, Performance Metric, Python Programming, Version Control
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.8 (13) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Optimization, Model Deployment, AI Workflows, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Version Control
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Model Training, Data Preprocessing, Data Processing, Hugging Face, Classification Algorithms
Intermediate · Course · 1 - 3 Months