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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


  • L

    Logical Operations

    Python Data Science: NumPy

    Skills you'll gain: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Python Programming, Data Management, Virtual Machines, Virtualization and Virtual Machines, Computer Programming, Computer Programming Tools, Software Development

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Hands-On Data Science with PyTorch & Pandas

    Skills you'll gain: Shiny (R Package), PyTorch (Machine Learning Library), Dashboard, Dashboard Creation, Python Programming, Interactive Data Visualization, Data Visualization, Data Visualization Software, Pandas (Python Package), Image Analysis, Applied Machine Learning, AI Workflows, Machine Learning Methods, Data Science, Computer Programming, Exploratory Data Analysis, Application Development, UI Components, Web Development Tools, User Interface (UI)

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
  • E

    EDUCBA

    Machine Learning Projects in R with Caret

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export, Data Analysis

    Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of California San Diego

    Biology Meets Programming: Bioinformatics for Beginners

    Skills you'll gain: Bioinformatics, Programming Principles, Molecular, Cellular, and Microbiology, Python Programming, Computational Thinking, Biology, Program Development

    4.2 stars, 1.6K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.2 (1.6K) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    4.6 stars, 14 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.6 (14) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Mastering Python for Data Science

    Skills you'll gain: Data Science, Statistical Inference, Machine Learning Methods, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistical Methods, Statistics, Regression Analysis, Applied Machine Learning, Interactive Data Visualization, Apache Hadoop, Big Data, Machine Learning Algorithms, Data Analysis, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

    Intermediate · Course · 1 - 3 Months

  • 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, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Optimization, Automation, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, AI Workflows, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Data Quality

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Preview
    Preview
  • 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, Supervised Learning, Unsupervised Learning, Python Programming, Data Mining, Bayesian Statistics

    Intermediate · Course · 1 - 3 Months

    Status: Free trial
    Free trial
  • C

    Coursera

    Build a Machine Learning Image Classifier with Python

    Skills you'll gain: Data Preprocessing, Keras (Neural Network Library), Model Evaluation, Model Training, Image Analysis, Data Processing, Scientific Visualization, Data Transformation, Applied Machine Learning, Computer Vision, Jupyter, Deep Learning, Python Programming, Machine Learning

    4.1 stars, 11 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.1 (11) · Intermediate · Guided Project · Less Than 2 Hours

  • E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Model Deployment, Decision Tree Learning, Logistic Regression, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Data Preprocessing, Python Programming, Pandas (Python Package), Seaborn, NumPy, Data Visualization, Statistical Visualization

    4.4 stars, 17 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.4 (17) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Model Training, Model Evaluation, Data Preprocessing, Machine Learning Methods, Statistical Methods, Machine Learning Software, Statistical Machine Learning, Data Validation, Data Processing, Data Quality, Mathematical Software, Classification Algorithms, Machine Learning Algorithms

    4.9 stars, 51 reviews, Beginner, Course, 1 - 3 Months

    ★ 4.9 (51) · Beginner · Course · 1 - 3 Months

    Status: Free trial
    Free trial
1…789…834

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

  • Python Data Science: NumPy: Logical Operations
  • Hands-On Data Science with PyTorch & Pandas: Packt
  • Machine Learning Projects in R with Caret: EDUCBA
  • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Mastering Python for Data Science: Packt
  • Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • NLP – Machine Learning Models in Python: Packt
  • Build a Machine Learning Image Classifier with Python: Coursera

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