Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
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Updated
Apr 25, 2023 - Jupyter Notebook
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.
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.
Movie Recommendation System based on machine learning concepts
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.
Welcome to the Python-Starter-Codes repository! Here, you'll find a comprehensive set of Python starter code that's perfect for beginners who are just starting to learn the language. Whether you're a complete novice or just looking to brush up on your skills, this repository has everything you need to get started with Python.
🗂 markdown tool to create table of content from jupyter notebooks
Interactive Machine Learning Examples
This repository contains code archives for Diabetes Prediction with Machine Learning
Hangman Game using Python
A predictive model for Order Cancellation among customers to try to predict suspicious bookings in the hotel industry
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 hi…
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.
House Prices: Análisis exploratorio de datos con Python
Created by Fernando Pérez, Brian Granger, and Min Ragan-Kelley
Released December 2011
Latest release 2 months ago