Hi everyone i’m : Abdulsemiu Sodiq
In this article, we will develop an end-to-end machine learning project with 11 steps in our own locale. After that, we will create an API with FastAPI, after creating the interface with the help of Streamlit, we will dockerize our project.
Data Load Feature Engineering Data Cleaning Outlier Removal Data Visualization (Relationship Between Variables) Extracting Training Data Encoding Build a Model Create API with FastAPI Creating a web interface to the model created with Streamlit. Dockerize