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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.


More to explore:

Popular Python for Machine Learning Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Artificial Neural Networks, Logistic Regression, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    824 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    A

    Arizona State University

    Learning How To Learn for Youth

    Skills you'll gain: Learning Strategies, Productivity, Human Learning, Willingness To Learn, Mental Concentration, Creativity, Time Management, Stress Management, Problem Solving, Self-Awareness, Persistence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Matplotlib, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    459 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Foundations for Everyone

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, IBM Cloud, AI Workflows, No-Code Development, Machine Learning Software, Model Deployment, Natural Language Processing, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Robotics, Deep Learning, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Statistics with Python

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Model Evaluation, Seaborn, Statistical Analysis, Jupyter, Statistical Programming, Statistical Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Model Evaluation, Data Analysis, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    98K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Python Programming Fundamentals

    Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Data Manipulation, Python Programming, Software Testing, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Development Environment, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    512 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    95 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Advanced Learning Algorithms: DeepLearning.AI
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Learning How To Learn for Youth: Arizona State University
  • Statistics for Data Science with Python: IBM
  • AI Foundations for Everyone: IBM
  • Statistics with Python: University of Michigan
  • Fundamentals of Reinforcement Learning: University of Alberta
  • IBM Generative AI Engineering: IBM
  • Reinforcement Learning: University of Alberta

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