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.

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/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