This is a repo for my Bertelsmann Data Science Scholarship Challenge: notes, exercises, quizzes.

My journey through Udacity & Bertelsmann Data Science Scholarship

This repository aims to provide code and information to help you develop a comprehensive understanding of Python programming in the context of artificial intelligence (AI) applications.

Capstone project for the Udacity MLND on the prediction of customer acquisition based on regional demographics and customer attributes. With the help of supervised and unsupervised learning techniques.

This is a Data Capstone project, Supervised and Unsupervised Learning Algorithms are used to characterize the customer segment of the population and predict customers for Arvato Financial Solutions.

Sum ups my coursework for Udacity's BertelsmannTechChallenge

Bertelsmann Challenge - Scholarship

Accompanying code repository to the BCP workshop "Create a Robot Framework Keyword Library with Python".

A follow along project for the Programming for Data Science with Python course on Udacity. The project is made possible by the OMAC (One Million Arab Coders) and Bertelsmann Next Generation Scholarships.

Program powered by Bertelsmann for the Intro to ML with Tensor Flow Challenge Course. Where many received applications from many talented and motivated candidates, and thank god I got it .

This Data Science case study is based on the real-life project given by Bertelsmann/Arvato Financial Services located in Germany and Udacity as a capstone project of a Data Science Nano Degree. This project is also about Unsupervised learning and customer segmentation.

This is an GitHub repository, containing Flask code to deploy on Azure App Service, as a part of exercise for Udacity's Bertelsmann's Scholarship for Introduction to Azure Applications