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Commit 149cb441 authored by Asif Khan's avatar Asif Khan
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Update README.md

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Garmann, Udo, 123456789
Khan, Asif, 22300224
Munich rent
Netflix Content Analysis
https://mygit.th-deg.de/ugarmann/sas-ws-24-25
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# Project Description
Munich rent, a system that shows rents of munich appartments.
**Important:** This is just a simplified example that can be used as a starting point. The submitted projects of the course should be more extended.
Netflix Dataset Analysis and Prediction is a system designed to explore, analyze, and build predictive models on the Netflix catalog dataset. The application provides insights into content trends and implements machine learning models to make recommendations or predictions.
# Installation
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Versions:
- Python 3.10.6 ?
- streamlit 1.37.1
- Python 3.9.6
- streamlit 1.41.1
- scikit-learn 1.1.3
- rasa 3.6.20
# Data
Munich rent data received via file from a colleague. It is not available online.
Further details about the data are described in the Wiki.
The Netflix dataset was sourced from Kaggle. It contains details about movies and TV shows available on Netflix, including:
Data preprocessing: Data was analyzed. the year ...
Title
Genre
Release Year
Rating
Duration
Cast and Directors
# Basic Usage
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# Work done
All work by UG.
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All work by Asif Khan.
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