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Scikit Learn Courses

Scikit Learn courses can help you learn data preprocessing, model selection, and evaluation techniques, along with supervised and unsupervised learning methods. You can build skills in feature engineering, hyperparameter tuning, and implementing algorithms like decision trees and support vector machines. Many courses also introduce tools such as Jupyter Notebooks and Python libraries, that support applying machine learning concepts and visualizing data to derive actionable insights.


Popular Scikit Learn Courses and Certifications


  • Status: New
    New
    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, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    6 reviews

    Beginner · 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, Data Analysis, Descriptive Statistics, Data-oriented programming, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    U

    Università di Napoli Federico II

    Teaching with AI: tools

    Skills you'll gain: Responsible AI

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Statistical Learning

    Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering, Dimensionality Reduction

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Matplotlib, Jupyter, Python Programming, Data Processing, NumPy, Data Cleansing, Image Analysis, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Python for Genomic Data Science

    Skills you'll gain: Bioinformatics, Data Structures, Jupyter, Python Programming, Programming Principles, Object Oriented Programming (OOP), Scripting, Data Processing, Package and Software Management, Data Manipulation, File Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.8K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

Searches related to scikit learn

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scikit-learn to solve regression machine learning problems
introduction to data science and scikit-learn in python
1…456…834

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

  • Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
  • Machine Learning: O.P. Jindal Global University
  • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
  • Explainable Machine Learning (XAI): Duke University
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Teaching with AI: tools: Università di Napoli Federico II
  • Generative AI for Developers: Unit 2: Pearson
  • Statistical Learning: Illinois Tech
  • Master Machine Learning with TensorFlow: Basics to Advanced: EDUCBA
  • AI with Python: Apply & Implement ML Models: EDUCBA

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