Expresso-Customer-Churn-Prediction

This repository explains how to predict customer churn. An Hackathon Organized by Data Science Nigeria(DSN-AI) to help Expresso predict customer Churn. My 2nd place solution, log_loss of 0.246675. I've also added a section in the notebook to get a score of 0.246643, which could be the unofficial 1st place solution.

Amazon-Forest-Project

This repository illustrates how to use pre-trained models to predict likely tags on satellite images, using the https://www.kaggle.com/c/planet-understanding-the-amazon-from-space/overview Datasets.

pyDelete

pyDelete is a command line too that makes it easy to delete several instances of a file in different folders and sub folders. It is implemented in python, very easy to use and it does the trick pretty fast.

Smart-Queuing-System

Smart Queue Monitoring System is a Person Detection project, that maintains the maximum number of people in a queue and directs people to less congested queue. With real-world scenarios to build a queuing system , also identify which hardware types work best, then test the application using different hardware devices on the Intel DevCloud.