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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

    Data Mining in Python

    Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms

    4.7 stars, 13 reviews, Advanced, Course, 1 - 4 Weeks

    ★ 4.7 (13) · Advanced · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    3.9 stars, 15 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 3.9 (15) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Machine Learning, Algorithms, Applied Machine Learning, Statistical Methods, Probability Distribution

    4.8 stars, 1.3K reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.8 (1.3K) · Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

    Skills you'll gain: Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of California San Diego

    Machine Learning With Big Data

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation

    4.6 stars, 2.5K reviews, Mixed, Course, 1 - 3 Months

    ★ 4.6 (2.5K) · Mixed · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Code Reusability, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Data Analysis, Computer Programming, Model Optimization

    4.8 stars, 22 reviews, Beginner, Course, 1 - 4 Weeks

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

    Category: Preview
    Preview
  • U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Methods, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Machine Learning Software, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Data Analysis Software, Classification Algorithms, Python Programming

    4.7 stars, 27 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.7 (27) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Model Training, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, Data Processing, PySpark, Large Language Modeling, Vector Databases, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Tensorflow, Cloud Computing, Statistical Machine Learning, Machine Learning Software, Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Python Programming, Model Training, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Model Optimization, Scientific Visualization

    4.6 stars, 162 reviews, Intermediate, Guided Project, Less Than 2 Hours

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

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7 stars, 419 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.7 (419) · Intermediate · Guided Project · Less Than 2 Hours

  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
1…456…834

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

  • Data Mining in Python: University of Michigan
  • Machine Learning Models in Science: LearnQuest
  • Sample-based Learning Methods: University of Alberta
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Machine Learning With Big Data: University of California San Diego
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Databricks ML in Action: Packt
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Build a Machine Learning Web App with Streamlit and Python: Coursera

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