As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms
python
numpy
svm
matrix
scikit-learn
machine-learning-algorithms
cross-validation
pandas
seaborn
matrix-multiplication
matplotlib
performance-analysis
decision-trees
svm-kernel
classification-algorithms
k-fold-cross-validation
gpu-kernel-performance
xgboost-algorithms
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Updated
May 13, 2020 - Jupyter Notebook