Discover shaimaa-alghamdi/Player-Performance-Prediction Open Source

Stars
1
Language
Jupyter Notebook
Created about 3 years ago
Updated about 3 years ago

shaimaa-alghamdi

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

In the game of football, the evaluation of players for transfer, scouting, squad formation, and strategic planning is important. Therefore, the proposed project aims to apply Data Science technologies with data and machine learning algorithms to predict player football performance.

MeMe-Udacity

Application MeMe enables a user to take a picture, and add text at the top and bottom to form a meme. The user will be able to share the photo on Facebook and Twitter and also by SMS or email. Memes will appear in a tab view with two tabs: a table view and a collection view.

Picture-Travel

An IOS Application the user can add many pins on the map then when clicking on any pin it will open another page , if the location has a photos on Flickr website it will download the photos and display them on CollectionView and also save it on Coredata , if there are no photos it will display a message "no photo" . user also can remove any photo by click on it and tap a delete button . also use can download new collection . and because photos saved on coreData if the app closed and re-open the photo will display immediately without need to download it again.

onTheMap-Udacity

Students will create an app with a map that shows information posted by other students. The map will contain pins that show the location where other students have reported studying. By tapping on the pin users can see a URL for something the student finds interesting. The user will be able to add their own data by posting a string that can be geocoded to a location, and a URL.

shaimaa-alghamdi/Player-Performance-Prediction

shaimaa-alghamdi

Reviews

Repository Details

More Repositories