GitHub - dshkkp/machine-learning-practice: Machine learning practice: implementations of core algorithms, experiments.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
ML02_simple_data analysis.ipynb		ML02_simple_data analysis.ipynb
ML1.1_linear_regression.ipynb		ML1.1_linear_regression.ipynb
ML1.2 multivariate.ipynb		ML1.2 multivariate.ipynb
ML1.3_regression.ipynb		ML1.3_regression.ipynb
ML2.1 logistic regression.ipynb		ML2.1 logistic regression.ipynb
ML2.2_real_classification.ipynb		ML2.2_real_classification.ipynb
ML3.1_polynomial_feature.ipynb		ML3.1_polynomial_feature.ipynb
ML3.2_SVC.ipynb		ML3.2_SVC.ipynb
ML3.3_perceptron.ipynb		ML3.3_perceptron.ipynb
ML3.4_trees.ipynb		ML3.4_trees.ipynb
ML3.5_knn.ipynb		ML3.5_knn.ipynb
ML3.6_bayes.ipynb		ML3.6_bayes.ipynb
ML4.1_metrics.ipynb		ML4.1_metrics.ipynb
ML4.2 threshold.ipynb		ML4.2 threshold.ipynb
ML4.3 cross-validation.ipynb		ML4.3 cross-validation.ipynb
ML4.5 hyperparameters.ipynb		ML4.5 hyperparameters.ipynb
ML_01_intro.ipynb		ML_01_intro.ipynb
ML_4_4_diagnostics.ipynb		ML_4_4_diagnostics.ipynb