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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: Free
    Free
    D

    DeepLearning.AI

    Intro to Federated Learning

    Skills you'll gain: Federated Learning, Fine-tuning, AI Security, Large Language Modeling, PyTorch (Machine Learning Library), Model Optimization, Information Privacy, LLM Application, Model Training, Distributed Computing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Project · Less Than 2 Hours

  • 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, Software Quality (SQA/SQC), Problem Solving, Programming Principles, Computer Programming, Program Development, Algorithms, Python Programming, Computer Science, Debugging, Test Planning, Functional Testing, Other Programming Languages

    4.3
    Rating, 4.3 out of 5 stars
    ·
    236 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Developer: From Basics to Case Studies

    Skills you'll gain: Cryptography, Object Oriented Design, Object Oriented Programming (OOP), File I/O, Encryption, Cryptographic Protocols, Data Structures, Program Development, Software Development, Model Evaluation, Automation, Model Training, Machine Learning Algorithms, Database Application, Plot (Graphics), Python Programming, Algorithms, Software Installation, Code Reusability, Functional Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    105 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    462 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    834 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Compose and Program Music in Python using Earsketch

    Skills you'll gain: Musical Composition, Music, Computer Programming, Code Reusability, Programming Principles, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    458 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    388 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Statistical Machine Learning, Machine Learning Methods, Model Training, Model Optimization

    4.5
    Rating, 4.5 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Decision Intelligence, Markov Model, Deep Learning, Applied Machine Learning, Statistical Methods, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Managing Machine Learning Projects

    Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    379 reviews

    Beginner · Course · 1 - 3 Months

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

  • Intro to Federated Learning: DeepLearning.AI
  • Problem Solving, Python Programming, and Video Games: University of Alberta
  • Python Developer: From Basics to Case Studies: EDUCBA
  • Databricks Machine Learning Quickstart: Coursera
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Supervised Machine Learning: Classification: IBM
  • Supervised Machine Learning: Regression: IBM
  • Compose and Program Music in Python using Earsketch: Coursera
  • Python for Data Analysis: Pandas & NumPy: Coursera
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder

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

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