MDSH14
Business Intelligence Engineer @ SiliconExpert and former Data Analyst @ Maxab with a good experience with Machine and Deep Learning
SiliconExpertEgypt
Pinned Repositories
bikeshare-data-exploring
Python project to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
Data-Modeling-with-Postgres
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.
DSND_Term1
Contains files related to content and project of DSND
Engezny
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.
Identify_Customer_Segments
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.
ImageClassifier
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.
ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
PythonImageClassifier
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
Wrangle_and_Analyze_Data
MDSH14's Repositories
MDSH14/Engezny
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.
MDSH14/Data-Modeling-with-Postgres
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.
MDSH14/ImageClassifier
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.
MDSH14/bikeshare-data-exploring
Python project to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington.
MDSH14/ML_SageMaker_Studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
MDSH14/DSND_Term1
Contains files related to content and project of DSND
MDSH14/Identify_Customer_Segments
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.
MDSH14/PythonImageClassifier
MDSH14/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
MDSH14/Wrangle_and_Analyze_Data