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: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Model Training, Image Analysis, Data Processing, Scientific Visualization, Data Transformation, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning
★ 4.1 (11) · Intermediate · Guided Project · Less Than 2 Hours

Packt
Skills you'll gain: File I/O, File Systems, File Management, Python Programming, System Programming, System Software, Mathematical Software, Test Data, OS Process Management, Arithmetic
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Processing, Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Numerical Analysis, Exploratory Data Analysis, Data Cleansing, Data Structures
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Optimization, Regression Analysis, Model Training, Statistical Modeling, Predictive Modeling, Fine-tuning, Scientific Visualization, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Processing, Exploratory Data Analysis, Python Programming, Machine Learning, Development Environment
★ 4.5 (14) · Intermediate · Guided Project · Less Than 2 Hours

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
★ 4.6 (233) · Intermediate · Guided Project · Less Than 2 Hours

Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Model Optimization, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Statistical Machine Learning, Decision Tree Learning, Model Training, Machine Learning, Data Preprocessing, Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Data Processing
★ 4.7 (417) · Mixed · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Embeddings, Applied Machine Learning, Data Quality, Unstructured Data, Machine Learning Methods, Anomaly Detection, Data Preprocessing, Data Transformation, Python Programming, Exploratory Data Analysis, Model Evaluation
★ 4.9 (7) · Advanced · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning
Intermediate · 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
★ 3.7 (28) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Predictive Modeling, Data Science, Machine Learning, Python Programming
★ 4.6 (22) · Intermediate · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: ChatGPT, OpenAI, Large Language Modeling, AI literacy, Legal Risk, Natural Language Processing, Data Ethics, Responsible AI, Generative AI, Artificial Intelligence, Law, Regulation, and Compliance, Social Impact, Intellectual Property, Education and Training, Economics, Ethical Standards And Conduct
★ 4.5 (68) · Mixed · Course · 1 - 4 Weeks