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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


  • C

    Coursera

    Integrate, Scale, and Monitor ML Microservices

    Skills you'll gain: Microservices, MLOps (Machine Learning Operations), Application Performance Management, Site Reliability Engineering, Testability, Continuous Monitoring, Maintainability, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Career Development For Open Source Data Engineering

    Skills you'll gain: Interviewing Skills, Professional Development, Data Pipelines, Apache Airflow, Professional Networking, Data Infrastructure, Portfolio Management, GitHub, Software Development, Apache Spark, Communication, Data Quality, Collaboration, Apache, Python Programming, SQL

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploying Open Models

    Skills you'll gain: Model Deployment, Docker (Software), Containerization, Cloud Deployment, MLOps (Machine Learning Operations), Hugging Face, Cloud Computing Architecture, Serverless Computing, Cloud Technologies, AWS SageMaker, System Monitoring, Release Management, Application Security, Infrastructure Security, Continuous Monitoring, Application Performance Management, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Engineer, Validate, and Govern ML Data

    Skills you'll gain: Apache Airflow, Data Governance, Apache Spark, PySpark, Databricks

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Annotate and Analyze Objects for Vision

    Skills you'll gain: Image Analysis, Data Cleansing, Quality Assurance, Quality Assessment, Packaging and Labeling, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Trending in AI
    Trending in AI
    I

    IBM

    Building AI Agents and Agentic Workflows

    Skills you'll gain: AI Orchestration, AI Workflows, LangChain, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Design, Prompt Engineering, Large Language Modeling, Context Management, Software Design Patterns, Software Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    229 reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    145 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Refine Segmentation: Boost Your AI Vision

    Skills you'll gain: Performance Analysis, Performance Metric, Quality Assessment, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deploying and Debugging ML Microservices

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Docker (Software), Software Architecture, Kubernetes, Restful API, CI/CD, Scalability, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Browser-based Models with TensorFlow.js

    Skills you'll gain: Image Analysis, Tensorflow, Transfer Learning, Convolutional Neural Networks, Computer Vision, JSON, Model Deployment, Applied Machine Learning, Javascript, Data Processing, Real Time Data, Web Applications, Machine Learning

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

    Intermediate · Course · 1 - 4 Weeks

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

  • Integrate, Scale, and Monitor ML Microservices: Coursera
  • Career Development For Open Source Data Engineering: Coursera
  • Deploying Open Models: Coursera
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Engineer, Validate, and Govern ML Data: Coursera
  • Annotate and Analyze Objects for Vision: Coursera
  • Building AI Agents and Agentic Workflows: IBM
  • Generative AI Language Modeling with Transformers: IBM
  • Refine Segmentation: Boost Your AI Vision: Coursera

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Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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