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Results for "jupyterlab"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Analysis with Pandas and Python

    Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Development Environment, Object Oriented Programming (OOP)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Data Science Foundations: NumPy, Pandas & Visualization

    Skills you'll gain: Statistical Visualization, Scatter Plots, Histogram, Data Science, Computer Programming

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative AI, Deep Learning, Dimensionality Reduction, Text Mining, Network Model, Unsupervised Learning, Supervised Learning, Google Cloud Platform, Machine Learning, Computer Vision, Flask (Web Framework), Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Aprendiendo Python con textos, números y ecuaciones

    Skills you'll gain: Program Development, Python Programming, Jupyter, Algorithms, Engineering Calculations, Computer Programming, Mathematical Modeling, Linear Algebra, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python for Data Analysis and Automation

    Skills you'll gain: Debugging, Automation, Python Programming, Data Structures, Programming Principles, Data Storage Technologies, Data Storage, Scripting, Data Manipulation, File Management, Software Installation

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Smarter Scientific Software Development with GitHub Actions

    Skills you'll gain: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Software Development, Test Automation, Containerization, Automation, Debugging, YAML, Scripting

    Intermediate · Course · 1 - 4 Weeks

1…6789

In summary, here are 8 of our most popular jupyterlab courses

  • Foundations of Data Analysis with Pandas and Python: Packt
  • Data Science Foundations: NumPy, Pandas & Visualization: Packt
  • Generative AI, LLMs, and Advanced Applications with Python: Packt
  • Advanced PyTorch Techniques and Applications: Packt
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Aprendiendo Python con textos, números y ecuaciones: Coursera
  • Python for Data Analysis and Automation: Packt
  • Smarter Scientific Software Development with GitHub Actions: Fred Hutchinson Cancer Center

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