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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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    EDUCBA

    Python Basics: Learn, Apply & Build Programs

    Skills you'll gain: Software Installation, Data Validation, Python Programming, Program Development, Computational Thinking, Development Environment, Data Processing, Computer Programming, System Configuration, Algorithms, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34 reviews

    Mixed · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Scikit Learn (Machine Learning Library), Data Preprocessing

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Alberta

    Problem Solving, Python Programming, and Video Games

    Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Problem Solving, Computer Programming, Theoretical Computer Science, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Data Structures, Application Design, Debugging, Problem Management, Computer Science, Functional Testing

    4.3
    Rating, 4.3 out of 5 stars
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    235 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Databricks Machine Learning Fundamentals

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Apache Spark, Applied Machine Learning, PySpark, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Scikit Learn (Machine Learning Library), Feature Engineering, Application Deployment, Model Evaluation, Real Time Data, Exploratory Data Analysis, Engineering

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Feature Engineering, Statistical Methods, Model Evaluation, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
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    451 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    EDUCBA

    Python Developer: From Basics to Case Studies

    Skills you'll gain: Cryptography, Object Oriented Programming (OOP), File I/O, Encryption, Data Structures, Software Development, Data Visualization, Model Evaluation, Automation, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Public Key Cryptography Standards (PKCS), Databases, Python Programming, Natural Language Processing, Algorithms, Key Management, Software Installation, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
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    100 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    821 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    W

    Whizlabs

    Fundamentals of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, AWS SageMaker, Data Preprocessing, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Azure DevOps, Model Deployment, Microsoft Azure, Amazon Web Services, Deep Learning, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation

    4.5
    Rating, 4.5 out of 5 stars
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    80 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Python Basics: Learn, Apply & Build Programs: EDUCBA
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Problem Solving, Python Programming, and Video Games: University of Alberta
  • Databricks Machine Learning Fundamentals: Coursera
  • SAS Machine Learning Engineer: SAS
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Supervised Machine Learning: Classification: IBM
  • Python Developer: From Basics to Case Studies: EDUCBA
  • Supervised Machine Learning: Regression: IBM

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Data Modeling (21)
Data Manipulation (20)

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