In this course, you will :
- Learn how to move a model from the notebook to the cloud.
- The ability to deploy machine learning models using the Flask framework.
- The ability to test your model API endpoints using the Postman application.
- Understand How to use Datasist ibrary to accelerate model development and deployment.
1. Installing the Required Applications
2. Build and Deploy a Machine Learning Model
- Import Data to MS SQL Database and Connect Using Python
- Exploratory Data Analysis using Datasist Library
- Feature Engineering
- Model Building by Training an Algorithm
- Model Deployment Using Streamlit
- Model Deployment Using FastAPI