Mohammed Saleh's Projects
Python project to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
In this project, I am using data modeling with Postgres and to build an ETL pipeline using Python. I am defining fact and dimension tables for a star schema for a particular analytic focus, and writing an ETL pipeline that transfers data from files in two local directories into these tables in Postgres using Python and SQL.
Contains files related to content and project of DSND
Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.
In this project, I used 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.
Project code for Udacity's AI Programming with Python Nanodegree program. In this project, students first develop code for an image classifier built with PyTorch, then convert it into a command line application.
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
Code and associated files for the deploying ML models within AWS SageMaker