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  • Python Machine Learning

Python Machine Learning Courses

Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.


Popular Python Machine Learning Courses and Certifications


  • W

    Whizlabs

    Fundamentals of AWS AI and ML Solutions

    Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Image Analysis, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Deep Learning, AI Personalization, Model Evaluation, Applied Machine Learning, Computer Vision, Machine Learning, Feature Engineering, Text Mining, Data Wrangling

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Neural Networks for Car Price Prediction

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, Data Preprocessing, Model Evaluation, Data Cleansing, Data Transformation, Predictive Modeling, Pandas (Python Package), Applied Machine Learning, Statistical Methods, Regression Analysis, Scikit Learn (Machine Learning Library), Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    589 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Microservices Architecture for AI Systems

    Skills you'll gain: Retrieval-Augmented Generation, Model Deployment, LLM Application, LangChain, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Scalability, MLOps (Machine Learning Operations), Cloud Deployment, Cloud Computing Architecture, API Design, Site Reliability Engineering, Kubernetes, Prompt Engineering, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Testing and Refining LLM Applications

    Skills you'll gain: MLOps (Machine Learning Operations), LLM Application, AI Security, Test Automation, Test Driven Development (TDD), Code Coverage, Unit Testing, CI/CD, Continuous Integration, Testability, Large Language Modeling, Model Deployment, Responsible AI, Maintainability, AI Workflows, Scripting, Software Engineering, Python Programming, Statistical Analysis, SQL

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Big Data, Machine Learning Algorithms, Generative Adversarial Networks (GANs), Machine Learning, Customer Data Management, Autoencoders, Artificial Intelligence, Deep Learning, Model Evaluation, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Model Deployment, Restful API, Software Design, Application Deployment, Software Architecture, Continuous Integration, Software Design Patterns, Software Development, LLM Application, Java, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Image Analysis, Java Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 3 - 6 Months

  • V

    Vanderbilt University

    Generative AI Assistants

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Ideation, Verification And Validation, LLM Application, Productivity, OpenAI, AI Personalization, Responsible AI, AI Enablement, Creativity, Large Language Modeling, Artificial Intelligence, Risk Management Framework, Expense Management, Productivity Software, Travel Arrangements, Test Case

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

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Cleansing, Data Quality, Business Priorities, NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Building AI Applications with OpenAI APIs

    Skills you'll gain: OpenAI API, Application Deployment, LLM Application, ChatGPT, Model Deployment, Application Programming Interface (API), Prompt Engineering, Natural Language Processing, User Interface (UI), Email Automation, Generative AI, Application Development, Payment Systems, Python Programming, Django (Web Framework), Flask (Web Framework), Software Development, AI Personalization

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Data-Driven Decision-Making, LLM Application, Data Flow Diagrams (DFDs), Semantic Web, Database Theory, Prompt Engineering, Database Design, NumPy, Databases, Generative AI, Data Analysis, NoSQL, Embeddings, Web Analytics and SEO, Simulations, Data-oriented programming, Python Programming, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

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

  • Fundamentals of AWS AI and ML Solutions: Whizlabs
  • Apply Neural Networks for Car Price Prediction: EDUCBA
  • Regression Analysis: Simplify Complex Data Relationships: Google
  • Microservices Architecture for AI Systems: Coursera
  • Testing and Refining LLM Applications: Coursera
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Generative AI for Java and Spring Developers: IBM
  • Generative AI Assistants: Vanderbilt University
  • Foundations and Core Concepts of PyTorch: Packt
  • AI Workflow: Business Priorities and Data Ingestion: IBM

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Data Manipulation (20)

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