GitHub / armankhatamsaz / ModelFitting-Classification-Techniques
implementing and comparing various model fitting and classification techniques. Demonstrates Multivariate Gaussian, Bag-of-Words, Naïve Bayes, LDA, and QDA models. Applied to Iris, SMS Spam Collection, and Phoneme datasets for practical classification tasks. parameter estimation, performance evaluation, feature selection using Mutual Information.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/armankhatamsaz%2FModelFitting-Classification-Techniques
PURL: pkg:github/armankhatamsaz/ModelFitting-Classification-Techniques
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 0 Bytes
Dependencies parsed at: Pending
Created at: 3 months ago
Updated at: 3 months ago
Pushed at: 3 months ago
Last synced at: 3 months ago
Topics: bag-of-words, cikit-learn, classification, feature-selection, gaussian-models, jupyter-notebook, lda, machine-learning, mutual-information, naive-bayes, numpy, odel-fitting, pandas, pattern-recognition, python, qda, roc-curve, spam-detection, statistical-modeling, text-classification