Streamlit Portfolio

This is a repository of several interactive data science and data visualization projects. It uses Streamlit to create a web application that allows users to explore and interact with the data. Contains a variety of data science and data visualization projects.

Where to explore the data

You can click the button below to explore the data.

NOTE: first time you open the app it may take some time to load.

How to run this app locally

1. Download or clone this repo

git clone git@github.com:MarianoOG/Data-Science-Projects.git

2. Create a conda environment and install all the dependencies

conda env create -f environment.yml

3. Use streamlit to run locally

streamlit run app.py

Inspiration and Data Sources

• Streamlit Multi-Apps Framework
• Build 12 Data Science Apps with Python and Streamlit
• Chaos Theory meets Python Programming
• Creating a Recommendation System in Python
• Kaggle Titanic: Machine Learning from Disaster to Survival
• Diabetes Prediction with Python
• Dataset Salarios - Platzi Course: Curso de Fundamentos Prácticos de Machine Learning
• MovieLens dataset