End to End Machine learning.

This is an college repo and all the practice work is guided by alaa-bakhti (DSP professor)

In this repo i worked in End to End machine learning staring from importing the data to model deployment

Files and their purpose

1. app ---- dataset preprocessing
2. data ----- import all required dataset
3. model ------ selected models training data and deployed for prediction
4. notebook ------ python files (Codes)
5. serving ------- deployment setup using streamlit and fastapi