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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


  • A

    Automatic Data Processing, Inc. (ADP)

    Benefits: Health, Wellness, Work & Lifestyle

    Skills you'll gain: Benefits Administration, Compensation and Benefits, Human Resource Policies, Human Resource Strategy, Human Resources, Employee Assistance Programs, Communication Planning, Health Care, Program Evaluation, Insurance, Diversity and Inclusion, Dental Care

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Python Programming, Software Versioning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.6K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Evaluate and Create ML Workflows Visually

    Skills you'll gain: MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Grafana, Performance Metric, Data Pipelines, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Platforms, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • A

    Automatic Data Processing, Inc. (ADP)

    Fundamentals of Compensation Strategies

    Skills you'll gain: Compensation Analysis, Compensation Management, Compensation Strategy, Compensation and Benefits, Benefits Administration, Labor Compliance, Regulatory Compliance, Human Resource Strategy, Communication Strategies, Benchmarking, Equities

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Docker for AI/ML

    Skills you'll gain: Model Context Protocol, Docker (Software), Development Environment, Containerization, Large Language Modeling, Model Deployment, Hugging Face, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, OpenAI API, Application Deployment, Jupyter, Command-Line Interface

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, IBM Cloud, Jupyter, Docker (Software), Machine Learning, Data Science, Python Programming, Scalability, Design Thinking

    4.3
    Rating, 4.3 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Bestseller
    Bestseller
    I
    I

    Multiple educators

    IBM and ISC2 Cybersecurity Specialist

    Skills you'll gain: Incident Response, Digital Forensics, Network Security, Computer Security Incident Management, Cloud Computing Architecture, Penetration Testing, Cloud Services, Business Continuity, Cloud Deployment, Security Controls, Disaster Recovery, Generative AI, Configuration Management, Governance, Cybersecurity, Data Storage, Peripheral Devices, Application Security, Information Technology, Cryptography

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • C

    Coursera

    Automate ML Pipelines for Peak Performance

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Workflow Management, Predictive Modeling, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate and Optimize AI Services Seamlessly

    Skills you'll gain: Cloud Deployment, Continuous Deployment, System Monitoring, API Testing, Restful API, Site Reliability Engineering, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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

  • Benefits: Health, Wellness, Work & Lifestyle: Automatic Data Processing, Inc. (ADP)
  • Start Neural Networks Advanced Model Architectures: Coursera
  • Introduction to Software Engineering: IBM
  • Evaluate and Create ML Workflows Visually: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Introduction to Statistics: Stanford University
  • Fundamentals of Compensation Strategies: Automatic Data Processing, Inc. (ADP)
  • Docker for AI/ML: Packt
  • AI Workflow: Enterprise Model Deployment: IBM
  • IBM and ISC2 Cybersecurity Specialist: IBM

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