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  • Python For Machine Learning

Python for Machine Learning Courses

Python for machine learning courses can help you learn data manipulation, algorithm implementation, model evaluation, and feature selection. You can build skills in data visualization, hyperparameter tuning, and understanding neural networks. Many courses introduce tools like TensorFlow, Scikit-learn, and Pandas, that support applying your skills in real-world projects, enabling you to create predictive models and analyze complex datasets effectively.

Popular Python for Machine Learning Courses and Certifications


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

    Edureka

    Explainability Methods & Evaluation

    Skills you'll gain: Model Evaluation, Model Training, Feature Engineering, Statistical Methods, Responsible AI, Analysis, Model Optimization, Predictive Analytics, Applied Machine Learning, Data Analysis, Predictive Modeling, Data Preprocessing, Data Science, Data Visualization, Machine Learning Algorithms, Python Programming, Data Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Deployment, Microsoft Azure, Artificial Intelligence, Applied Machine Learning, Python Programming, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Process Driven Development, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Regression

    Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.6K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, Design Research, Linux Commands, Unix, Usability, Debugging, User Interface (UI), Software Visualization, Web Content Accessibility Guidelines, Pseudocode, Hypertext Markup Language (HTML), User Interface and User Experience (UI/UX) Design, Javascript, UI Components, Unit Testing, JavaScript Frameworks, Code Reusability, Application Development

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Digital Marketing and E-commerce

    Skills you'll gain: Data Storytelling, Performance Measurement, Digital Media Strategy, Performance Metric, Search Engine Marketing, Conversion Funnel Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Digital Marketing, Customer Engagement, Marketing Planning, Marketing Strategies, Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Performance marketing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Power BI, Data Analysis, Timelines, Data Management, Data Wrangling, Data Entry, Data Presentation, Data Manipulation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Epidemiology in Public Health Practice

    Skills you'll gain: Epidemiology, Public Health, Public Health and Disease Prevention, Trend Analysis, Infection Control, Geographic Information Systems, Statistical Visualization, Health Policy, Data Visualization Software, Chronic Diseases, GIS Software, Geospatial Information and Technology, Infectious Diseases, Datamaps, Health Informatics, Risk Analysis, Investigation, Geospatial Mapping, Health Assessment, Statistics

    4.7
    Rating, 4.7 out of 5 stars
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    4.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Scripting Languages

    Beginner · Course · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Stanford Introduction to Food and Health

    Skills you'll gain: Cooking, Nutrition Education, Meal Planning And Preparation, Health Promotion, Health Education, Food and Beverage, Nutrition and Diet, Public Health, Behavior Management, Social Studies, Habit Formation, Cultural Diversity, Health Informatics, Chronic Diseases

    4.7
    Rating, 4.7 out of 5 stars
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    34K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Web Language, Web Design, HTML and CSS, Verification And Validation, Web Design and Development, Cloud Hosting, Web Development, Front-End Web Development, Web Content, Web Development Tools, GitHub, Semantic Web, Responsive Web Design, Integrated Development Environments, Web Servers, Servers, Cascading Style Sheets (CSS), Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Data Visualization with Tableau

    Skills you'll gain: Dashboard Creation, Dashboard, Data Storytelling, Tableau Software, Data Presentation, Peer Review, Data Visualization, Advanced Analytics, Stakeholder Analysis, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Graphing, Visualization (Computer Graphics), Data Mapping, Storyboarding

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis and Visualization Foundations

    Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Dashboard, Big Data, Data Visualization, Microsoft Excel, Data Analysis, IBM Cognos Analytics, Statistical Visualization, Apache Hadoop, Statistical Analysis, Analytical Skills, Dashboard Creation, Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Explainability Methods & Evaluation: Edureka
  • Developing AI Applications on Azure: LearnQuest
  • Machine Learning: Regression: University of Washington
  • Meta Front-End Developer: Meta
  • Foundations of Digital Marketing and E-commerce: Google
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Epidemiology in Public Health Practice: Johns Hopkins University
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Stanford Introduction to Food and Health: Stanford University
  • Introduction to HTML5: University of Michigan

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