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Omar Shoaib's Projects

customer-segments-with-arvato icon customer-segments-with-arvato

In this project, you will apply unsupervised learning techniques to identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used to direct marketing campaigns towards audiences that will have the highest expected rate of returns. The data that you will use has been provided by our partners at Bertelsmann Arvato Analytics, and represents a real-life data science task.

image-classifier-pytorch icon image-classifier-pytorch

This is an image classifier project, as part of graduating from Udacity Intro to machine learning nanodegree program

ml-nd-tf icon ml-nd-tf

Udacity Machine Learning Nanodegree with TensorFlow

people-counter-app-iot-using-openvino-toolkit icon people-counter-app-iot-using-openvino-toolkit

The people counter application is a smart video IoT solution that can detect people in a designated area of observation, providing the number of people in the frame, average duration of people in frame, total count of people since the start of the observation session and an alarm that sends an alert to the UI telling the user when a person enters the video frame.

price-angel icon price-angel

app for calculate the price angle for crypto traders

smart-queuing-system-iot-using-openvino icon smart-queuing-system-iot-using-openvino

We've provided three different scenarios that depict real-world problems based on different sectors where edge devices are typically deployed. The three scenarios you'll be looking at are: Scenario 1: Manufacturing Sector Scenario 2: Retail Sector Scenario 3: Transportation Sector

web-botcamp icon web-botcamp

This a web bot camp projects and notes as I am getting progress on this field

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