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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


  • 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

  • Status: Preview
    Preview
    Y

    Yonsei University

    Hands-on Text Mining and Analytics

    Skills you'll gain: Text Mining, Data Preprocessing, Natural Language Processing, Classification Algorithms, Data Analysis, Java, Unsupervised Learning, Machine Learning Methods, Supervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Applied Machine Learning, Machine Learning, Logistic Regression

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NLP – Machine Learning Models in Python

    Skills you'll gain: Model Evaluation, Dimensionality Reduction, Classification Algorithms, Text Mining, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Unstructured Data, Python Programming, Algorithms

    Intermediate · Course · 1 - 3 Months

  • 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, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Statistical Analysis, Machine Learning, Data Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Model Evaluation, Software Development Life Cycle, Text Mining, Model Deployment, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Machine Learning – Modern Computer Vision & Generative AI

    Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Deep Learning, Keras (Neural Network Library), Tensorflow, Python Programming, Data Preprocessing, Development Environment, Jupyter, NumPy

    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), 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
    ·
    161 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Generative AI for Developers: Unit 2

    Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Scripting, Python Programming, Application Development, Test Script Development, Web Applications, AI Workflows, Jupyter, Data Analysis, Pandas (Python Package), Software Documentation, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Data Preprocessing, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Cleansing, Model Evaluation, Jupyter, Python Programming, Applied Machine Learning, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Jupyter & Python: Visualize, Optimize & Accelerate

    Skills you'll gain: Matplotlib, Scientific Visualization, Data Visualization Software, Interactive Data Visualization, Seaborn, Jupyter, NumPy, Performance Tuning, Development Environment, Python Programming, Debugging

    Mixed · Course · 1 - 3 Months

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1…678…834

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

  • Understanding and Visualizing Data with Python: University of Michigan
  • Hands-on Text Mining and Analytics: Yonsei University
  • Machine Learning with PySpark: Edureka
  • NLP – Machine Learning Models in Python: Packt
  • Machine Learning With Big Data: University of California San Diego
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • NLP System Architecture and Dev-Ops: Universidad Austral
  • Machine Learning – Modern Computer Vision & Generative AI: Packt
  • Support Vector Machines in Python, From Start to Finish: Coursera
  • Generative AI for Developers: Unit 2: Pearson

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