Jupyter Notebook 0/1
Jupyter Notebook
Jupyter notebook is a web-based interactive development enviornment to write and execute code in several programming languages.

Jupyter Notebook is a web-based platform that offers interactive computing. In the notebook, it is possible to create and share snippets of code that can be run directly in the platform. Jupyter offers a web application, but you can also open Jupyter notebooks through VS Code. To get started with Jupyter Notebooks, you will need to install Python, Jupyter, and possibly some additional libraries.
Jupyter Notebook 1/1
Tutorials
Getting Started
Intermediate
Gaussian Mixtures
Generative Models
K-Means Clustering
K-nearest Neighbors Classification with Multiple Labels
Markov Decision Processes (MDP)
Multinomial Logistic Regression
Naive Bayes Classifiers (Multi-label)
Naive Bayes Classifiers (Two Classes)
Neural Networks
Policy Iteration
Predicting Room Labels
Q-Learning
Random Forest / Decision Trees
Sampling Methods
Self-Organizing Maps
Spectral Clustering
Support Vector Machines (SVM)
Surrogate Models
Preprocessing Datasets
Uncertainty Quantification
Value Iteration
Write your feedback.
Write your feedback on "Jupyter Notebook"".
If you're providing a specific feedback to a part of the chapter, mention which part (text, image, or video) that you have specific feedback for."Thank your for your feedback.
Your feedback has been submitted successfully and is now awaiting review. We appreciate your input and will ensure it aligns with our guidelines before it’s published.