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: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
★ 3.7 (71) · 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
★ 3.7 (9) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: ChatGPT, OpenAI API, Model Deployment, LLM Application, OpenAI, Tool Calling, Large Language Modeling, Application Deployment, Application Programming Interface (API), No-Code Development, Python Programming, Software Installation, Open Source Technology, Development Environment, Package and Software Management, User Interface (UI), Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
★ 5 (12) · Mixed · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: ChatGPT, LLM Application, Machine Learning Methods, Model Training, Python Programming, Machine Learning Algorithms, Data Manipulation
Advanced · Course · 1 - 4 Weeks

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

Skills you'll gain: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, ChatGPT, Generative AI, Fine-tuning, Keras (Neural Network Library), Large Language Modeling, Model Training, Model Optimization, Applied Machine Learning, Data Preprocessing, Image Analysis, Data Import/Export, Test Data, Machine Learning, Python Programming, Artificial Neural Networks
★ 4.4 (35) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation
★ 4.6 (14) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture, Model Training
Advanced · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months