234 results for “topic:ipynb-jupyter-notebook”
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
A repository for sharing ipynb's of my experiments with ML. Some notebooks are 'old' by now and might no longer work 'out of the box'.
Python crawling tutorial
A jupyter notebook server via HEROKU web without Password.
SymptoCare is an #AI-powered health assistant that provides #symptom-based #risk predictions and mental wellness support using GPT/Gemini. Built with #React, #Flask, s#cikit-learn, and #Firebase, it offers smart insights and doctor booking features.
A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful life
Movie Recommendation System based on machine learning concepts
🗂 markdown tool to create table of content from jupyter notebooks
Rock Paper Scissors with OpenCV and Neural Networks
Parch and Posey database was used to explore different functional aspects of SQL from basic to advanced.
Interactive Machine Learning Examples
✨ This repository is your go-to resource for seamlessly transforming Jupyter Notebook (ipynb) 📚 files into portable document format (PDF). 📚 🔀 It provides a simple and convenient way to convert Jupyter Notebook (ipynb) files to PDF format 🤓
Basic pattern recognition algorithms implemented in Python
A desktop app for converting .ipynb files to high-quality PDFs built in rust and tauri.
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A predictive model for Order Cancellation among customers to try to predict suspicious bookings in the hotel industry
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This is a simple translation website to translate javanese ngoko and krama using original transformer arcitecture
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Neovim plugin for working with python notebooks and Jupyter
This study investigates the traditions around collective consumptions on Black Friday.
A full-stack web application that predicts student placement probability using machine learning. The application consists of a Flask-based REST API backend and a Next.js frontend.
Hangman Game using Python
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Developed a personalized game recommendation system combining K-Means clustering and Nearest Neighbors algorithms to suggest games based on user preferences and game attributes. The system mitigates decision paralysis by offering tailored recommendations using game features like price, platform, genres, and release year. We implemented content-base
A binary decision diagram is a directed acyclic graph used to represent a Boolean function. The ROBDD is a canonical form, which means that given an identical ordering of input variables, equivalent Boolean functions will always reduce to the same ROBDD.
Import, View, Run Code, and Download Jupyter Notebooks from GitHub