/xgboost_student_performance

Introduction to XGBoost with an Implementation in an iOS Application

Primary LanguageSwift

Introduction to XGBoost with an Implementation on an iOS Application

Train and deploy XGBoost models using coremltools and build an on-device experience using Swift and Core ML

Final Results

All the python packages required are in the ./training/requirements.txt file, you just need to install them by running the following command in your shell:

pip install -r requirements.txt

Train the model

MacOS, Linux:

python app.py

About me

Omar MHAIMDAT – Linkedinomarmhaimdat@gmail.com

Distributed under the MIT license. See LICENSE for more information.

Look at the rest of my repos