muhamedhekal Goto Github PK

bike-sharing-demand-prediction

Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city. Using these systems, people are able rent a bike from a one location and return it to a different place on an as-needed basis. Currently, there are over 500 bike-sharing programs around the world. The data generated by these systems makes them attractive for researchers because the duration of travel, departure location, arrival location, and time elapsed is explicitly recorded. Bike sharing systems therefore function as a sensor network, which can be used for studying mobility in a city. In this competition, participants are asked to combine historical usage patterns with weather data in order to forecast bike rental demand in the Capital Bikeshare program in Washington, D.C.

build-nn_from-scratch

data-analysis-professional-udacity

Data-Analysis-Professional-Udacity

data-modeling-with-apache-cassandra

data modeling with Apache Cassandra and an ETL pipeline using Python.

dogbreedclassificationaws-sagemaker-with-pytorch

Using AWS Sagemaker to train a pretrained model Resnet50 to perform image classification on dog image data by using the Sagemaker profiling, debugger, hyperparameter tuning, and then deploy in and invoke endpoint with lambda function with consideration in cost and security

etl-movies-using-python

etl-pipeline-using-python

data modeling with Postgres and build an ETL pipeline using Python, define fact and dimension tables for a star schema for a particular analytic focus, and write an ETL pipeline that transfers data from files in two local directories into these tables in Postgres using Python and SQL.

exploratory-explanatorydataanalysis

finding_donors_for_charityml

hands-on-data-analysis-with-pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

hands_on_data_wrangling

images-classification-scones-unlimited

In this project, I'll be building an image classification model that can automatically detect which kind of vehicle delivery drivers have, in order to route them to the correct loading bay and orders. Assigning delivery professionals who have a bicycle to nearby orders and giving motorcyclists orders that are farther can help Scones Unlimited optimize their operations.

investment-and-trading-capstone-project

A stock price predictor that takes daily trading data over a certain date range as input, and outputs projected estimates for given query dates

investment_and_trading_capstone_project

spamdetectionnaivebayes

top100moviesrottentomatoesscrapping

WebScrapping