00 : Introduction and Prerequisites

Final Project would a basic version of: https://despam.io/docs

This course is an effort to bridge the gap between Software Development and Machine Learning. I see hundreds of Kaggle competitions and several thousands of Jupyter Notebooks. However, when it comes to ground reality the impact is minimal.

Let's take an example of Sign Language Recognition for deaf and mute persons. It is such a noble concept and you will find thousands of repositories, research papers, and Ipynb notebooks. However, I do not see any real-world implementation of it in the app store. This is exactly why I am creating this course.
The other aspect is that very few tutorials cover the software engineering part of an ML model deployment. We are here to present the complete ML model deployment pipeline with the best practices of the Industry.

Prerequisites:

• Python
• Exploratory Data Analysis
• ML Model generation
• Basic FastAPI (Preferred)