Project write-ups by Omar Essam El Sherbiny, Head of Data at WalaPlus: data engineering, analytics and machine learning, each taken from the question to the decision. More at omaressam.web.app
This was my final project for IBM's Deep Learning and Reinforcement Learning course. Fashion-MNIST is a familiar benchmark, so I framed it as a business task instead of a leaderboard entry: an online
This was my final project for IBM's Unsupervised Machine Learning course, on the same Telco Customer Churn dataset I used for a churn classifier. The question was different: without using the churn la
This was my final project for IBM's Supervised Machine Learning: Classification course: predict which telecom customers will leave, using the IBM Telco Customer Churn dataset (7,043 customers, 26.5% o
The annual flow of the Nile at Aswan from 1871 to 1970 is one of the classic series in statistics: a hundred numbers that every time-series textbook seems to use. It is famous for one feature, a drop
I wanted a clean table of Egypt's pharaohs: who ruled, in which dynasty, for how long, and which pyramid belongs to whom. Wikidata has most of it, but "most of it, as linked data" is a long way from a
Every Egyptian hieroglyph has a catalogue number. Egyptologists use Alan Gardiner's sign list, so the owl is G17, the reed leaf is M17, the water ripple is N35. I wanted to see how far a small convolu