Jupyter Notebooks in Visual Studio Code

Jupyter Notebooks in Visual Studio Code

This Jupyter Notebooks tutorial explains how easy it is to work with Jupyter notebooks in Visual Studio Code. How you can natively edit Jupyter notebooks in Visual Studio Code. Jupyter is an open-source project that enables you to easily combine Markdown text and executable Python source code on one canvas called a notebook. These notebooks contain live code, equations, visualizations and narrative text.

In this episode, Robert is joined by Jeffrey Mew, who shows how you can natively edit Jupyter notebooks in Visual Studio Code. Jupyter is an open-source project that enables you to easily combine Markdown text and executable Python source code on one canvas called a notebook. These notebooks contain live code, equations, visualizations and narrative text. Jeffrey shows how easy it is to work with Jupyter notebooks in Visual Studio Code.

How to work with Jupyter Notebook in Visual Studio Code

How to work with Jupyter Notebook in Visual Studio Code

How to work with Jupyter Notebook in Visual Studio Code. How to use Jupyter Notebook in Visual Studio Code. How can natively edit Jupyter notebooks in Visual Studio Code.

Jupyter Notebook in Visual Studio Code

How to work with Jupyter Notebook in Visual Studio Code

In this episode, Robert is joined by Jeffrey Mew, who shows how you can natively edit Jupyter notebooks in Visual Studio Code. Jupyter is an open-source project that enables you to easily combine Markdown text and executable Python source code on one canvas called a notebook. These notebooks contain live code, equations, visualizations and narrative text. Jeffrey shows how easy it is to work with Jupyter notebooks in Visual Studio Code.

Learn Python with Jupyter Notebook from Scratch

Learn Python with Jupyter Notebook from Scratch

Python and Jupyter Notebooks for beginners: Learn Python with Jupyter Notebook from scratch. In this introductory beginners course we will learn about the basics of Python and Jupyter notebook. You'll learn: How to install Jupyter Notebook, How to run the Jupyter Notebook Server, Common Jupyter Commands, Python Expressions, Python Statements, Python Variables, Python Data Types, Python Operators, Python Loops, Python Functions, Jupyter Components, Notebook Dashboard, Explore Notebook Interface,....

Python and Jupyter Notebooks for beginners

Learn Python with Jupyter Notebook from Scratch

Python is a very popular and powerful programming language. Python is versatile and can be fun to use in creating powerful and useful applications. Python can be used to create a variety of applications types

From games, web applications,desktop applications. Python is also very prominently used in data science and data analysis.

Jupyter Notebook is an environment that we can use to experiment with Python interactively . It allows you to share live Python code with others .

In this introductory beginners course we will learn about the basics of Python and Jupyter notebook.

What you'll learn

  • How to install Jupyter Notebook
  • How to run the Jupyter Notebook Server
  • Common Jupyter Commands
  • Jupyter Components
  • Notebook Dashboard
  • Explore Notebook Interface
  • Create Notebooks
  • Python Expressions
  • Python Statements
  • Python Variables
  • Python Data Types
  • Casting Data Types
  • Python Operators
  • Conditional Statements
  • Python Loops
  • Python Functions

Machine Learning, Data Science and Deep Learning with Python

Machine Learning, Data Science and Deep Learning with Python

Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks. Introducing Tensorflow, Using Tensorflow, Introducing Keras, Using Keras, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Learning Deep Learning, Machine Learning with Neural Networks, Deep Learning Tutorial with Python

Machine Learning, Data Science and Deep Learning with Python

Complete hands-on Machine Learning tutorial with Data Science, Tensorflow, Artificial Intelligence, and Neural Networks

Explore the full course on Udemy (special discount included in the link): http://learnstartup.net/p/BkS5nEmZg

In less than 3 hours, you can understand the theory behind modern artificial intelligence, and apply it with several hands-on examples. This is machine learning on steroids! Find out why everyone’s so excited about it and how it really works – and what modern AI can and cannot really do.

In this course, we will cover:
• Deep Learning Pre-requistes (gradient descent, autodiff, softmax)
• The History of Artificial Neural Networks
• Deep Learning in the Tensorflow Playground
• Deep Learning Details
• Introducing Tensorflow
• Using Tensorflow
• Introducing Keras
• Using Keras to Predict Political Parties
• Convolutional Neural Networks (CNNs)
• Using CNNs for Handwriting Recognition
• Recurrent Neural Networks (RNNs)
• Using a RNN for Sentiment Analysis
• The Ethics of Deep Learning
• Learning More about Deep Learning

At the end, you will have a final challenge to create your own deep learning / machine learning system to predict whether real mammogram results are benign or malignant, using your own artificial neural network you have learned to code from scratch with Python.

Separate the reality of modern AI from the hype – by learning about deep learning, well, deeply. You will need some familiarity with Python and linear algebra to follow along, but if you have that experience, you will find that neural networks are not as complicated as they sound. And how they actually work is quite elegant!

This is hands-on tutorial with real code you can download, study, and run yourself.