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.

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

Universidad Austral
Skills you'll gain: Natural Language Processing, Data Processing, Data Preprocessing, Text Mining, AI Orchestration, Pandas (Python Package), Analysis, Big Data, Process Modeling, File Management, Classification Algorithms
Beginner · Course · 1 - 3 Months

Pearson
Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Deep Learning, Tensorflow, Convolutional Neural Networks, LLM Application, Computer Vision, Responsible AI, Generative Model Architectures, Model Training, Generative AI, Data Ethics, Multimodal Prompts, Artificial Intelligence, Network Model
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Model Evaluation, Data Cleansing, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Presentation, Machine Learning, Model Optimization, Analysis
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
Advanced · Course · 1 - 4 Weeks

Universidad Austral
Skills you'll gain: Web Scraping, Data Integration, Data Processing, Data Preprocessing, Data Cleansing, Data Manipulation, Natural Language Processing, Jupyter, Pandas (Python Package), Hypertext Markup Language (HTML), JavaScript Frameworks, Data Collection
Beginner · Course · 1 - 4 Weeks

The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Statistical Machine Learning, Machine Learning Software, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Supervised Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: AI Workflows, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics
Intermediate · Course · 1 - 3 Months

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