/Data-Analysis-ML-model

Term Project for COSE362

Primary LanguageJupyter Notebook

Data-Analysis-ML-model

Term Project for COSE362

Used data: Mushroom data(UCI repository)
Number of instances: 8124
Number of Attributes: 22

I used various machine learning techniques learned from Machine Learning course and made model by using each ML technique. To be speicific, I've tried Decision Tree, Bayesian Approach, Logistic Regression, MLP, and Deep Learning. By comparing the performance of each model and in the viewpoint of 'overfitting', I've selected the final model.