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Machine Learning Courses

Machine learning courses can help you learn data preprocessing, supervised and unsupervised learning, and model evaluation techniques. You can build skills in feature engineering, algorithm selection, and hyperparameter tuning. Many courses introduce tools like Python, TensorFlow, and Scikit-learn, demonstrating how these skills are applied to create predictive models and analyze large datasets.


Popular Machine Learning Courses and Certifications


  • Status: New
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    EDUCBA

    Recommendation Engine - Basics

    Skills you'll gain: AI Personalization, Data Science, Predictive Analytics, Python Programming, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Mastering Recommendation Systems with Python

    Skills you'll gain: Feature Engineering, AI Personalization, Data Processing, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Data Cleansing, Scalability, Machine Learning Algorithms, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration

    4.7
    Rating, 4.7 out of 5 stars
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    58 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    University of Glasgow

    Computational Thinking with JavaScript

    Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Front-End Web Development, Data Science, Computer Programming

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Resampling, Selection and Splines

    Skills you'll gain: Data Science, Statistical Programming, R Programming, Statistical Machine Learning, Advanced Analytics, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Statistical Methods, Sampling (Statistics), Regression Analysis, Statistical Inference, Predictive Modeling, Statistics

    Build toward a degree

    5
    Rating, 5 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Maryland, College Park

    Storytelling and Persuading with Data and Digital Technology

    Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Digital Transformation, Persuasive Communication, Data Science, Storytelling, Influencing, Data-Driven Decision-Making, Customer Engagement, Presentations, Analytics, Customer Insights

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 3 Months

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    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Introduction to RNN and DNN

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

    Beginner · Course · 1 - 4 Weeks

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    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    How to Use Data

    Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Verbal Communication Skills, Matplotlib, Data Storage, Data Science, Machine Learning

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    EDUCBA

    Develop a Movie Recommendation Engine

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Predictive Modeling, Data Processing, Data Science, Data Manipulation, Exploratory Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular machine learning courses

  • Recommendation Engine - Basics: EDUCBA
  • Mastering Recommendation Systems with Python: EDUCBA
  • Computational Thinking with JavaScript: University of Glasgow
  • Foundations of ML & Python for Data Science: Packt
  • Resampling, Selection and Splines: University of Colorado Boulder
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Storytelling and Persuading with Data and Digital Technology: University of Maryland, College Park
  • Data Science Fundamentals, Part 1: Pearson
  • Introduction to RNN and DNN: Packt
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh

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