Machine Learning:Knowledge in Learning (Chapter 2 - Part-II)

Confusion Matrix
Training Dataset
Testing Dataset
Cross Validation
SVM
KNN
Regression
Logistic Regression
Bias and Variance
ROC & AUC
Entropy
Fitting Overfiitng Underfitting
Accuracy
Specificity
Sensitivity