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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


  • Status: New
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    Status: Free Trial
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    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Web Applications, Python Programming, IBM Cloud, Server Side, Artificial Intelligence, Code Review, Programming Principles, Development Environment, Unit Testing

    4.5
    Rating, 4.5 out of 5 stars
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    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    686 reviews

    Intermediate · Course · 1 - 3 Months

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    Nanjing University

    用Python玩转数据 Data Processing Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Statistical Analysis, Data Mining, Data Analysis, Data Processing, Pandas (Python Package), Data Science, NumPy, Web Scraping, Python Programming, Data Manipulation, Matplotlib, Programming Principles, User Interface (UI) Design

    4.7
    Rating, 4.7 out of 5 stars
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    1.6K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Titanic Survival Prediction Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Predictive Analytics, Machine Learning Algorithms, Data Science, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
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    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    222 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
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    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    Packt

    Foundations of Machine Learning with Azure

    Skills you'll gain: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Quality, Resource Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Python Project for Data Engineering

    Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides

    4.6
    Rating, 4.6 out of 5 stars
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    813 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Health Policy, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
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    596 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Advanced Machine Learning, Big Data, and Deep Learning: Packt
  • Developing AI Applications with Python and Flask: IBM
  • Machine Learning Foundations for Product Managers: Duke University
  • 用Python玩转数据 Data Processing Using Python: Nanjing University
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Foundations of Machine Learning with Azure: Packt
  • Python Project for Data Engineering: IBM

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R Programming (37)
Statistical Analysis (36)
Sql (33)
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Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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