There are 1 repository under ipynb-jupyter-notebook topic.
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'.
A jupyter notebook server via HEROKU web without Password.
A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful life
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.
Rock Paper Scissors with OpenCV and Neural Networks
Movie Recommendation System based on machine learning concepts
🗂 markdown tool to create table of content from jupyter notebooks
Parch and Posey database was used to explore different functional aspects of SQL from basic to advanced.
✨ 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 🤓
A predictive model for Order Cancellation among customers to try to predict suspicious bookings in the hotel industry
Basic pattern recognition algorithms implemented in Python
This is a simple translation website to translate javanese ngoko and krama using original transformer arcitecture
Hangman Game using Python
Neovim plugin for working with python notebooks and Jupyter
House Prices: Análisis exploratorio de datos con Python
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
Hierarchical Clustering Algorithm on Wine Clustering data with dendograms visualization.
Shunno Theke Python Machine learning Hate Kalame Scikit Learn
This repository contains code archives for Diabetes Prediction with Machine Learning
This study investigates the traditions around collective consumptions on Black Friday.
Web application written in Python using flask and deployed on Heroku. The purpose of this project was to connect a UI with 2 of the ML models I have developed for recognizing handwritten numbers.
Import, View, Run Code, and Download Jupyter Notebooks from GitHub
Implementing FaceNet for facial recognition using pre-trained weights.
This project is on a data set from Prosper, which is America’s first marketplace lending platform, with over $7 billion in funded loans. This data set contains 113,937 loans with 81 variables on each loan, including loan amount, borrower rate (or interest rate), current loan status, borrower income, borrower employment status, borrower credit history, and the latest payment information. The main purpose of this project is to summarize the characteristics of variables that can affect the loan status and to get some ideas about the relationships among multiple variables using summary statistics and data visualizations.
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.
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.