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  • Matplotlib Library

Results for "matplotlib library"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    C++ Data Structures in the STL

    Skills you'll gain: C++ (Programming Language), Data Structures, Data Store, Data Cleansing, Data Mapping, Data Import/Export, Data Validation, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    F

    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Generative AI, Generative Model Architectures, Software Architecture, Systems Architecture, Machine Learning Methods, PyTorch (Machine Learning Library), Large Language Modeling, Image Analysis, Performance Tuning, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Web Development in React.js: Build a Web App

    Skills you'll gain: React.js, Ajax, Cascading Style Sheets (CSS), JavaScript Frameworks, UI Components, Restful API, Web Applications, Web Development, Javascript, Application Development, Computer Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, NumPy, Matplotlib, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Machine Learning, Supervised Learning, Data Manipulation, Regression Analysis

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Typescript in React: Get started

    Skills you'll gain: TypeScript, Javascript, React.js, Debugging, Integrated Development Environments, Web Development Tools

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Data Pipelines, PyTorch (Machine Learning Library), Jupyter, Artificial Neural Networks, Data Processing, Data Transformation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, Pandas (Python Package), NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    185 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Facial Expression Recognition with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Feature Engineering, Data Validation

    3.9
    Rating, 3.9 out of 5 stars
    ·
    60 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization with OpenAI API: Generate code with GenAI

    Skills you'll gain: Prompt Engineering, Generative AI, Data Visualization, Data Visualization Software, OpenAI, ChatGPT, Large Language Modeling, Matplotlib, Data Analysis, Pandas (Python Package), Python Programming, Data Manipulation, Natural Language Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular matplotlib library courses

  • Deep Learning with Real-World Projects: Packt
  • C++ Data Structures in the STL: Coursera
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Web Development in React.js: Build a Web App: Coursera
  • Deep Learning - Crash Course 2023: Packt
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Typescript in React: Get started: Coursera
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Deep Learning for Computer Vision: MathWorks

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