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Scikit-Learn Courses

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.

Popular Scikit-Learn Courses and Certifications


  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6 stars, 8.8K reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (8.8K) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • I

    IBM

    Tools for Data Science

    Skills you'll gain: Jupyter, R (Software), R Programming, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Services, Cloud API, Cloud Computing, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Python Programming

    4.5 stars, 30K reviews, Beginner, Course, 1 - 3 Months

    ★ 4.5 (30K) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • B

    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Test Script Development, Model Evaluation, Unsupervised Learning, Containerization, Data Processing, Data Wrangling, Unit Testing, Development Testing, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, Model Training, Workflow Management, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • P

    Packt

    Python - Complete Python, Django, Data Science and ML Guide

    Skills you'll gain: Predictive Modeling, Data Preprocessing, Django (Web Framework), Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, File I/O, Application Programming Interface (API), Programming Principles, Databases, Development Environment, Web Applications, Code Reusability, Data Management, Functional Design, Memory Management, Data Validation

    Intermediate · Specialization · 3 - 6 Months

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Python Programming, Applied Machine Learning, Model Optimization, Data Processing, Pandas (Python Package), Data Wrangling, Model Evaluation, NumPy, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, AI Workflows, Unsupervised Learning

    4.8 stars, 12 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming

    4.9 stars, 17 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.9 (17) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • O

    O.P. Jindal Global University

    Machine Learning

    3.9 stars, 9 reviews, Beginner, Course, 1 - 3 Months

    ★ 3.9 (9) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Data Presentation, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

  • D

    Deep Teaching Solutions

    Accelerate Your Learning with ChatGPT

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Creative Thinking, AI Personalization, AI literacy, ChatGPT, Ideation, Creativity, Learning Strategies, Curiosity, Critical Thinking, Generative AI, Image Analysis, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks

    4.8 stars, 556 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.8 (556) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    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, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Data Presentation, Machine Learning, Model Optimization, Analysis

    4.6 stars, 13 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.6 (13) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1234…834

In summary, here are 10 of our most popular scikit-learn courses

  • Applied Machine Learning in Python: University of Michigan
  • Tools for Data Science: IBM
  • Applied Machine Learning Systems with FastAPI for Developers: Board Infinity
  • Automate ML Pipelines for Peak Performance: Coursera
  • Python - Complete Python, Django, Data Science and ML Guide: Packt
  • Machine Learning with Python: Build & Optimize: EDUCBA
  • Machine Learning with Python & Statistics: EDUCBA
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Machine Learning: O.P. Jindal Global University
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt

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