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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


  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

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

    Beginner · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Generative AI Leadership & Strategy

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Succession Planning, LLM Application, Productivity, OpenAI, Business Writing, Responsible AI, Generative AI, AI Enablement, Leadership, Meeting Facilitation, Organizational Leadership, Leadership and Management, Creativity, Problem Solving, Risk Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.9K reviews

    Beginner · Specialization · 1 - 3 Months

  • R

    Rice University

    Introduction to Data Analysis Using Excel

    Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Software Development Lifecycle

    Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Software Design, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Software Quality Assurance, Program Development, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • M

    Meta

    Meta Android Developer

    Skills you'll gain: React Native, Android Studio, Restful API, Version Control, User Research, Usability Testing, Git (Version Control System), Data Structures, Jest (JavaScript Testing Framework), Unix Commands, Android Jetpack, Android Development, Persona (User Experience), GitHub, Interaction Design, Kotlin, User Experience Design, User Interface (UI), Mobile Development, Javascript

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.2K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Bestseller
    Bestseller
    I

    IBM

    IBM Full-Stack JavaScript Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Istio, Software Architecture, Node.JS, React Redux, Application Deployment, Restful API, Kubernetes, Database Design, CI/CD, Cloud-Native Computing, Responsive Web Design, NoSQL, OpenShift, Git (Version Control System), Ajax, Javascript, Azure DevOps, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    IBM JavaScript Backend Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Containerization, Istio, Software Architecture, Node.JS, Application Deployment, Restful API, Kubernetes, Database Design, Cloud-Native Computing, Responsive Web Design, NoSQL, Git (Version Control System), Ajax, Grafana, Javascript, Azure DevOps, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • G

    Google

    Build Wireframes and Low-Fidelity Prototypes

    Skills you'll gain: Storyboarding, Wireframing, Information Architecture, Figma (Design Software), User Story, User Experience Design, User Centered Design, Prototyping, User Interface (UI), Usability, Mockups, Persona (User Experience), User Flows

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    ML Model Training & Validation

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Model Evaluation, Systems Design, Transfer Learning, Data Preprocessing, Data Quality, Feature Engineering, Deep Learning, Python Programming, Data Validation, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Software Engineering, Debugging, Supervised Learning, Git (Version Control System), Performance Metric, Statistical Analysis

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of Michigan

    Web Applications for Everybody

    Skills you'll gain: Database Design, SQL, MySQL, PHP (Scripting Language), Relational Databases, JSON, jQuery, Hypertext Markup Language (HTML), Javascript and jQuery, Ajax, Databases, Data Modeling, Database Application, Database Development, Debugging, Web Applications, Object Oriented Programming (OOP), Web Development, Secure Coding, Javascript

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • V

    Vanderbilt University

    Prompt Engineering for Educators

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Creative Problem-Solving, Generative AI, Expense Reports, AI Enablement, AI Personalization, Image Analysis, Artificial Intelligence, Innovation, Brainstorming, Large Language Modeling, Game Design, Expense Management, Organizational Skills, Computer Vision

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.5K reviews

    Beginner · Specialization · 1 - 3 Months

1…454647…834

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

  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Generative AI Leadership & Strategy: Vanderbilt University
  • Introduction to Data Analysis Using Excel: Rice University
  • Software Development Lifecycle: University of Minnesota
  • Meta Android Developer: Meta
  • IBM Full-Stack JavaScript Developer: IBM
  • IBM JavaScript Backend Developer: IBM
  • Build Wireframes and Low-Fidelity Prototypes: Google
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • ML Model Training & Validation: Coursera

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