Practical Machine Learning for Beginners

Description

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.

Syllabus :

1. Installing the Required Applications

• Installing 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

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