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Results for "matplotlib library"


  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Full-Stack React with Spring Boot: Unit 1

    Skills you'll gain: Full-Stack Web Development, IntelliJ IDEA, Spring Boot, React.js, Restful API, Integrated Development Environments, Object-Relational Mapping, Web Development Tools, Back-End Web Development, Web Applications, Application Frameworks, Command-Line Interface, Data Access

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Data Mining, Data Cleansing, Deep Learning, Artificial Neural Networks

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Typescript in React: Higher Order Components

    Skills you'll gain: TypeScript, React.js, UI Components, Javascript, Software Design Patterns

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy

    Advanced · Course · 3 - 6 Months

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Analysis in Python

    Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Modern C++ Features & Concurrency

    Skills you'll gain: C++ (Programming Language), System Programming, Algorithms, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Introduction to Transformer Models for NLP: Unit 1

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Natural Language Processing, Large Language Modeling, Generative Model Architectures, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of the Arts London

    Introduction to Creative AI

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Creativity, Artificial Intelligence and Machine Learning (AI/ML), Creative Thinking, Generative AI, Artificial Neural Networks, Responsible AI, Creative Problem-Solving, Creative Design, Machine Learning Methods, Data Ethics, Deep Learning, Critical Thinking

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    AI CERTs

    AI in Real Estate

    Skills you'll gain: Fraud detection, Property and Real Estate, Real Estate, Responsible AI, Commercial Real Estate, Lead Generation, Real Estate Transactions, Tensorflow, Property Management, Marketing Strategies, Keras (Neural Network Library), Artificial Intelligence, Business Intelligence, Machine Learning, Automation, Predictive Analytics, Risk Management, Internet Of Things

    Intermediate · Course · 1 - 3 Months

1…464748…82

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

  • Data Preparation and Analysis: Illinois Tech
  • Full-Stack React with Spring Boot: Unit 1: Pearson
  • Applied Machine Learning: Johns Hopkins University
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Typescript in React: Higher Order Components: Coursera
  • Advanced Generative Adversarial Networks (GANs): Packt
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Data Analysis in Python: Codio
  • Modern C++ Features & Concurrency: Packt
  • Introduction to Transformer Models for NLP: Unit 1: Pearson

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