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  • Python For Machine Learning

Python for Machine Learning Courses

Python for machine learning courses can help you learn data manipulation, algorithm implementation, model evaluation, and feature selection. You can build skills in data visualization, hyperparameter tuning, and understanding neural networks. Many courses introduce tools like TensorFlow, Scikit-learn, and Pandas, that support applying your skills in real-world projects, enabling you to create predictive models and analyze complex datasets effectively.

Popular Python for Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Python Programming

    Skills you'll gain: File I/O, Data Structures, Programming Principles, Computer Programming Tools, Python Programming, Computer Programming, Computational Thinking, Software Development Tools, Development Environment, Data Storage, Functional Design, Integrated Development Environments, Software Documentation, Code Reusability, Data Import/Export, Jupyter

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Model Optimization, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Statistical Machine Learning, Decision Tree Learning, Model Training, Machine Learning, Data Preprocessing, Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • 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
    ·
    390 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Data Analysis, Probability Distribution, R (Software), Statistics, Data Science, Database Management, Relational Databases, R Programming, Data Import/Export, Python Programming, NumPy

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    75K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    343 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Introduction to Portfolio Construction and Analysis with Python

    Skills you'll gain: Investment Management, Portfolio Management, Portfolio Risk, Investments, Return On Investment, Asset Management, Financial Management, Risk Modeling, Risk Analysis, Financial Modeling, Process Optimization, Risk Management, Financial Analysis, Python Programming, Simulations, Correlation Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Training, Data Preprocessing, Embedded Systems, Machine Learning Software, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Responsible AI, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    758 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Probability & Statistics, Programming Principles, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Introduction to Python

    Skills you'll gain: Data Science, Web Applications, Python Programming, Data Analysis, Programming Principles, Artificial Intelligence, Computer Programming, Game Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.2K reviews

    Beginner · Guided 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 Basics: Learn, Apply & Build Programs

    Skills you'll gain: Software Installation, Code Reusability, Functional Design, Programming Principles, Data Validation, Python Programming, Program Development, Scripting, Software Design, Computational Thinking, Development Environment, Computational Logic, Computer Programming, Algorithms, Command-Line Interface

    4.5
    Rating, 4.5 out of 5 stars
    ·
    36 reviews

    Mixed · Course · 1 - 4 Weeks

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

  • Introduction to Python Programming: University of Pennsylvania
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Python for Data Analysis: Pandas & NumPy: Coursera
  • Data Science Fundamentals with Python and SQL: IBM
  • Fundamentals of Machine Learning in Finance: New York University
  • Introduction to Portfolio Construction and Analysis with Python: EDHEC Business School
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Introduction to Data Science in Python: University of Michigan
  • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
  • Introduction to Python: Coursera

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