Minimum viable product (MVP) for ML projects

Introduction

Creating MVP for ML projects is an interesting topic because it is quick and provides opportunity for engaged partners (managers, clients, etc.) to provide early feedbacks. Those feedbacks can be used later for improving the idea and product development later versions. In this repo, we will push practical examples of MVPs for different ML projects.

Youtube videos:

The following youtube videos are explaining the codes in this report.

• MVP for weather prediction
• MVP for sales anomaly detection

More videos on anomaly detection

• Anomaly detection with isolation forest
• Anomaly detection with KNN