Final Project

Introduction

This project is compiled by Two parts:

EDA part is the analysing a data set “reservation data” and data transformation to create a ML model that can predict House Keeping services. – could be improved for the future. **resv_main.ipynb **
App creation using Streamlit application to generate possible question about the “Orange” hotel unit. For this part create a rag_main code and has a directive for the answers create an md file hotel_info. **rag_main copy.ipynb ** **hotel_info **

README.md resv_main.ipynb rag_main copy.ipynb app_main.py hotel_info.md tableux_dashboard.twb

reservations_data (reservations_report - not real numbers) EDA (for the tableaux)

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
.ipynb_checkpoints		.ipynb_checkpoints
chroma_db		chroma_db
final project		final project
.gitignore		.gitignore
EDA.csv		EDA.csv
Final Project.pdf		Final Project.pdf
Final Project.pptx		Final Project.pptx
README.md		README.md
app_main.py		app_main.py
data_clean.csv		data_clean.csv
hotel_info.md		hotel_info.md
rag_main copy.ipynb		rag_main copy.ipynb
reservations_data.xlsx		reservations_data.xlsx
resv_main.ipynb		resv_main.ipynb
tableux_dashboard.twb		tableux_dashboard.twb