Name: FAISAL ALSAEED
Type: User
Company: SAUDIA AEROSPACE ENGINEERING INDUSTRIES
Bio: I am Faisal I am a Computer programmer and system analyst, I interest to learn data, I cover a lot of courses in data subjects, data analyzing, Hadoop, etc..
Location: Riyadh, Saudi Arabia
Blog: https://www.linkedin.com/in/faisal-alsaeed/
FAISAL ALSAEED's Projects
An R package providing access to medium airline flight delay data
The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.
In this project, I will use Tableau to build dashboards and tell a story with data.
A Kubernetes-based microservices application on service mesh
Introduction: I am working in Airlines sector working at Saudia Airlines as Web app Developer and I saw same this data set every day so I decide to work with this data set to flight for 2008 so there are many of questions like what number of flights over each month? What the greatest number of the trip based on a weekday? Or what is most company have the highest travel hours ? or did the subdual time of departure meet the actual time is there is any outliers? a lot of question make it in my story let us dig deep and saw how to answer this question in my story.
Udacity Data Science Nanaodegree - Disaster Response Pipeline Project
This repository for analysing data using R to check if the content if there is any effect from the content of wine on qulity of red wine
we train the data using deep learning models to classifying the predicted image and what class is belong
we have data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. ● Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters. ● There are some odd characters in the ‘cast’ column. Don’t worry about cleaning them. You can leave them as is. The final two columns ending with “_adj” show the budget and revenue of the associated movie in terms of 2010 dollars, accounting for inf
A startup called Sparkify wants to analyze the data they've been collecting on songs and user activity on their new music streaming app. The analytics team is particularly interested in understanding what songs users are listening to. Currently, they don't have an easy way to query their data, which resides in a directory of JSON logs on user activity on the app, as well as a directory with JSON metadata on the songs in their app.
Udacity data engineering nanodegree project
Findings from Stackoverflow 2017
WallacePOS uses the power of the modern web to provide an easy to use & extensible POS system.
this project is about wrangling [gather-assest-clean] data and do some investigation and analysing using matplot library