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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


  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python Using NumPy, Pandas, and SciPy

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

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Vector Machines in Python, From Start to Finish

    Skills you'll gain: Scikit Learn (Machine Learning Library), Tensorflow, Classification Algorithms, Supervised Learning, Applied Machine Learning, Python Programming, Feature Engineering, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Data Manipulation, Data Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    162 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    From Raw to Ready: Data Preparation in Python

    Skills you'll gain: Data Integration, Data Import/Export, NumPy, Data Manipulation, Data Preprocessing, Pandas (Python Package), Data Pipelines, Data Transformation, Extract, Transform, Load, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

  • P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Matplotlib, Data Import/Export, Unstructured Data, Data Collection

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Classification Trees in Python, From Start To Finish

    Skills you'll gain: Decision Tree Learning, Data Preprocessing, Data Transformation, Supervised Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Classification Algorithms, Model Evaluation, Pandas (Python Package)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    233 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Breast Cancer Prediction Using Machine Learning

    Skills you'll gain: Data Cleansing, Logistic Regression, Data Preprocessing, Applied Machine Learning, Data Import/Export, Data Mining, Python Programming, Google Cloud Platform, Scikit Learn (Machine Learning Library), Predictive Modeling, Classification Algorithms, Machine Learning, Supervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    57 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    NumPy & Pandas: Analyze & Transform Data

    Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Seaborn, Probability & Statistics, Jupyter, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Course · 1 - 4 Weeks

1…567…834

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

  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Statistical Learning: Illinois Tech
  • From Raw to Ready: Data Preparation in Python: Coursera
  • Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
  • Classification Trees in Python, From Start To Finish: Coursera
  • Breast Cancer Prediction Using Machine Learning: Coursera
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Foundations of Data Science and Machine Learning with Python: Packt

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