Pinned Repositories
-Find-donors-for-charity
Finding donors for charity using Machine Learning.
-flower-classification
A neural network algorithm for a flower classification
-Ford-Go-bike-data-analysis
Analysis of Ford Gobike data.
A-B-test-results-Analysis
Data analysis of A/B test results for an e-commerce website
AI_project
Bike-Share-data-analysis
Data analysis of a bike-sharing company.
Data-Lake
Build an ETL pipeline for a data lake hosted on S3. By loading data from S3, processing the data into analytics tables using Spark, and loading them back into S3. This is will be obtained by deploying the Spark process on a cluster using AWS.
Data-Modeling-with-Cassandra
Data-Modeling-with-Postgres-
Applying data modeling with Postgres and build an ETL pipeline using Python. By 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.
Data-Warehouse
M0hmdghareb's Repositories
M0hmdghareb/-Find-donors-for-charity
Finding donors for charity using Machine Learning.
M0hmdghareb/-flower-classification
A neural network algorithm for a flower classification
M0hmdghareb/-Ford-Go-bike-data-analysis
Analysis of Ford Gobike data.
M0hmdghareb/A-B-test-results-Analysis
Data analysis of A/B test results for an e-commerce website
M0hmdghareb/AI_project
M0hmdghareb/Bike-Share-data-analysis
Data analysis of a bike-sharing company.
M0hmdghareb/Data-Lake
Build an ETL pipeline for a data lake hosted on S3. By loading data from S3, processing the data into analytics tables using Spark, and loading them back into S3. This is will be obtained by deploying the Spark process on a cluster using AWS.
M0hmdghareb/Data-Modeling-with-Cassandra
M0hmdghareb/Data-Modeling-with-Postgres-
Applying data modeling with Postgres and build an ETL pipeline using Python. By 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.
M0hmdghareb/Data-Warehouse
M0hmdghareb/Datacamp-Investigating-Netflix-Movies-
Investigating Netflix Movies and Guest Stars in The Office
M0hmdghareb/DataCamp-The-Android-App-Market-on-Google-Play
Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this notebook, we will do a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories. We'll look for insights into the data to devise strategies to drive growth and retention.
M0hmdghareb/How-Weather-affects-restaurant-ratings
How Weather affects restaurant ratings with different different data source for weather and reviews rating we can make some queries to gain insights
M0hmdghareb/M0hmdghareb
M0hmdghareb/no-show-for-appointments-data-analysis
Analysis of a dataset for patients' records
M0hmdghareb/Web-training---IEEE-CS23-ZSB
IEEE Web Task