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  1. Categories
  2. Scikit Learn

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


  • M

    Macquarie University

    The Science of Learning: How Learning Works

    Skills you'll gain: Human Learning, Education and Training, Student-Centred Learning, Pedagogy, Instructional Strategies, Learning Strategies, Teaching, School Psychology, Critical Thinking, Instructional Design, Educational Materials, Instructional and Curriculum Design, Curriculum Development, Curriculum Planning

    Beginner · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
  • B

    Board Infinity

    Applied Machine Learning Systems with FastAPI for Developers

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Unsupervised Learning, Containerization, Development Testing, Code Reusability, Pandas (Python Package), Docker (Software), Restful API, Software Development, Python Programming, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free trial
    Free trial
  • J

    John Wiley & Sons

    Machine Learning For Dummies

    Skills you'll gain: Data Literacy, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Responsible AI, Data Ethics, Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Deep Learning, Convolutional Neural Networks, Model Optimization, Unstructured Data, Python Programming, Data Preprocessing, Feature Engineering

    Beginner · Specialization · 3 - 6 Months

    Category: New
    New
    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

    4.8 stars, 24 reviews, Beginner, Course, 1 - 4 Weeks

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

    Category: Preview
    Preview
  • T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Regression Analysis, Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Tensorflow, Logistic Regression, Pandas (Python Package)

    3.9 stars, 25 reviews, Intermediate, Course, 1 - 3 Months

    ★ 3.9 (25) · Intermediate · Course · 1 - 3 Months

    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, Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Python Programming

    4.6 stars, 28 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.6 (28) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • U

    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Data Science, Anomaly Detection, Python Programming, Classification Algorithms

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

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

    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, Python Programming

    4.8 stars, 6 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 4.8 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Machine Learning

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Category: Preview
    Preview
    Category: Build toward a degree
    Build toward a degree
  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • P

    Packt

    Intro to NumPy

    Skills you'll gain: NumPy, Data Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Structures, Python Programming, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Machine Learning with Python: Build & Optimize

    Skills you'll gain: Matplotlib, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Model Optimization, Pandas (Python Package), Model Evaluation, NumPy, Machine Learning Algorithms, Machine Learning, Data Science, Dimensionality Reduction, Classification Algorithms

    4.8 stars, 12 reviews, Mixed, Course, 1 - 4 Weeks

    ★ 4.8 (12) · Mixed · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
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