rgriff23/project-pages

Jupyter notebooks for getting started with quick EDA and MVP modeling

Introduction

This repository contains template Jupyter notebooks to explore data, build MVP models, and communicate results with minimal effort and code. The script main.py executes notebooks and exports HTML pages to /notebook/page.

Table of contents

Exploratory data analysis

• Static graphs with Seaborn
• Interactive graphs with Plotly Express

Machine learning with PyCaret

• Regression
• Classification
• Clustering
• Forecasting
• Anomaly detection
• Natural language processing
• Association rule mining