Muhammad Elkfrawy's repositories
SalesAnalysis
Using Python, Pandas & Matplotlib to analyze and answer business questions about 12 months worth of sales data. The data contains hundreds of thousands of electronics store purchases broken down by month, product type, cost, purchase address, etc.
serverless-image-recognition
A simple API for the images recognition using AWS Rekognition on the back-end. Using the Serverless framework for describing infrastructure.
A-B-testing
Part of Udacity's Data Analyst Nanodegree, A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these.
Airlines_Delays
Perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that convey findings.
frl_31_binance-leaderboard-bot-aws
Using requests running on AWS Lambda, Scrape Binance leaderboard on schedule basis (cron job).
car-hire-management-system-api
Car Hire Management System API. A Python microservice implemented using Flask microframework that is connected to MySQL DB.
deploy-web-app-cloudformation
Deploy a High-Availability Web App using CloudFormation
Dog-Breeds-Classifier
Implementing a Convolutional Neural Networks (CNN) to Classify Dog Breeds from Scratch and using Transfer Learning.
Predicting-Bike-Sharing-Patterns
Building and training my own Neural Network from scratch to predict the number of bike-share users on a given day.
product-recommendation-API
REST API around a machine learning model that recommends banking products
warehouse-inventory-api
A python-based solution for a Warehouse Inventory system.
WeRateDogs
Gathering data from a variety of sources and in a variety of formats, assessing its quality and tidiness, then cleaning it. Showcase wrangling efforts through analysis and visualizations.
frl_30_web-scrappers
basic web scrapper with some helper functions
image-recognition-api
A simple API for the recognition of images using AWS Rekognition on the back-end. Using the Serverless framework for describing infrastructure.
pysimplesoap
Python Simple SOAP Library
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
sent-analysis
Deploying a neural network that predicts the sentiment of a user-provided movie review. In addition, create a simple web app that uses the deployed model.
TMDb-Analysis
Investigating a dataset contains information about 10,000+ movies collected from The Movie Database (TMDb).
US-Bikeshare
Using Python to understand U.S. bikeshare data. Calculate statistics and build an interactive environment where a user chooses the data and filter for a dataset to analyze.