Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
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Updated
May 23, 2024 - HTML
The Jupyter Notebook, previously known as the IPython Notebook, is a language-agnostic HTML notebook application for Project Jupyter. Jupyter notebooks are documents that allow for creating and sharing live code, equations, visualizations, and narrative text together. People use them for data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.
Build MLOps Pipelines in Minutes
A GitHub action to build data science environment images with repo2docker and push them to registries.
A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
CoCalc: Collaborative Calculation in the Cloud
🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
Dear ImGui Bundle: easily create ImGui applications in Python and C++. Batteries included!
E-Commerce Analytics and Forecasting Project
DataPulse is a platform for developers to build, schedule and monitor data pipelines.
Prediction of loan status based on training ML models on historical data and predict status, complete with thorough Data Visualization and Exploratory Data analysis
Raku package that generates JavaScript D3.js code for plots and charts.
My repository for learning Python
Exploratory Data Analysis on Retail Sales Data
Repository of Jupyter Notebooks created by the Bio2Byte group
Jupyter notebooks for Dyalog APL
Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
Data Mining to Extract Insights from Steel Industry Energy Consumption. Project part of Module CS4168 - Data Mining at University of Limerick.
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 7 days ago