The purpose of this repo is to show a simple yet complete end-to-end Machine Learning project. It solves a classification problem by determining whether someone from the Titanic survived or not. It was developed using JupyterLab, Visual Studio Code, Anaconda, and Streamlit Community Cloud (Streamlit Share).
Link project on Streamlit Cloud
This project was inspired and developed thanks to the next sources:
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition - https://github.com/ageron/handson-ml2
- Kaggle:
- Diplomado en Big data y machine learning - PUC
- https://github.com/dataprofessor/streamlit_freecodecamp - https://youtu.be/JwSS70SZdyM
- https://www.andrewvillazon.com/custom-scikit-learn-transformers/