Pinned Repositories
abdoulkaled-blog
Blog build with flask
abdoulkaled_portfolio
Here is my personal portfolio website
Absenteeism
We develop a model that will predict the probability of an individual being excessively absent from work. Then we used Tableau to analyze three separate dependencies between the inputs of our model.
AI_body_language_decoder
API_Gateway_Lambda_DynamoDb
Build an API Gateway with Lambda and DynamoDB
AWS-3-Tier-Web-App
This template installs a highly-available, scalable Nginx webservers using a multi-az Amazon RDS database instance for storage.
Docker-on-AWS-EC2-Instance
Docker Installation on AWS EC2 Instance
DynamoDb-Stream-Data-Capture
Using DynamoDb Stream to capture item-level changes in the DynamoDb table, then use kinesis data stream and kinesis firehose to save the changes into a s3 bucket.
Event-Driven-Architecture
Event driven Architecture with S3, SNS, SQS, and Lambda. Uses Events to decouple an application's components.
Formula1_Data_Modeling
This project involves getting different datasets, creating a data model, creating tables, creating relationships between tables, and then loading the data into Snowflake.
gakas14's Repositories
gakas14/abdoulkaled-blog
Blog build with flask
gakas14/abdoulkaled_portfolio
Here is my personal portfolio website
gakas14/Absenteeism
We develop a model that will predict the probability of an individual being excessively absent from work. Then we used Tableau to analyze three separate dependencies between the inputs of our model.
gakas14/Health_Insurance_Cost
gakas14/MercedesBenz_TestBench
gakas14/NYC311Customer-Service-Requests-Analysis
gakas14/Retail-Analysis-with-Walmart-Data
gakas14/Text_Mining_FIFAWorldCup2018
The sentiment Analysis method applies to the FIFAWorldCup2018.
gakas14/XGBoost_CarEvaluation
gakas14/Amazon_Employee
Design an algorithm to accurately predict the access status to certain resources of employees.
gakas14/Analyzing-Nobel-Prizes
Analyzing a dataset on the past winners of the Nobel Prize.
gakas14/Cafe_Library
gakas14/Cohort_Analysis
Cohort Analysis With Python’s Matplotlib, Seaborn, Pandas, Numpy, And Datetime.
gakas14/Cohort_Customer_Transaction
Cohort Analysis Using Python, performing time cohorts, working with pandas pivot, and creating a retention table along with visualizing it.
gakas14/cv
gakas14/Dr-Ignaz-Semmelweis-Analysis
Dr Semmelweis wanted to figure out why so many women in maternity wards were dying from childbed fever
gakas14/Earnings
gakas14/fatal-force
gakas14/Healthcare_diabetes
Build a model to accurately predict whether a patient in the dataset has diabetes or not.
gakas14/Online_Retail
Perform customer segmentation using RFM analysis. The resulting segments can be ordered from most valuable (highest recency, frequency, and value) to least valuable (lowest recency, frequency, and value).
gakas14/Portfolio
gakas14/Sales_Performance_Analysis
Build a dashboard that will present monthly sales performance by product segment and product category, to help clients identify the segments and categories that have met or exceeded their sales targets, as well as those that have not met their sales targets.
gakas14/Seaborn_Linear_Regression
Movies budget and revenue data
gakas14/Space_Mission