Articles  →  MACHINE LEARNING
MACHINE LEARNING Article List
   
Sub Category: Introduction
01 Introduction To Machine Learning
02 Terminologies Used In Machine Learning
Sub Category: Regression Algorithms
03 Simple Linear Regression Algorithm In Machine Learning
04 Mean Squared Error (MSE) Metric In Regression Algorithms Of Machine Learning
05 Root Mean Squared Error (RMSE) Metric In Regression Algorithms Of Machine Learning
06 Multiple Linear Regression Algorithm In Machine Learning
07 Binomial Logistic Regression Algorithm
08 Multiple Logistic Regression Algorithm In Machine Learning
09 Variance Reduction Splitting Criteria In The Decision Tree For Regression Problems
Sub Category: Classifier Algorithms
10 Tree-Based Algorithm In Machine Learning
11 Entropy In Machine Learning
12 Information Gain In Machine Learning
13 Gini Index In Machine Learning
14 Decision Tree Algorithm In Machine Learning
15 Confusion Matrix In Machine Learning
Sub Category: Other
16 Ensemble Learning In Machine Learning
17 Hyperparameters In Machine Learning
18 Models In Machine Learning
19 Loss Function In Machine Learning
20 Bayes Theorem In Machine Learning
21 Naïve Assumption In Machine Learning
22 Perceptron In Machine Learning
23 Linear Equation
24 2D Space, 3D Space, Higher-Dimensional Spaces In Machine Learning
25 Decision Boundary In Machine Learning
26 Classification Report In Machine Learning
27 One-Hot Encoding And Label Encoding In Machine Learning
28 Chi-Square In Machine Learning
29 R-Squared Statistical Metric
30 Quartile And Quartile Values
31 Outliers In Data In Machine Learning
32 Normalization In Machine Learning
33 Mean, Median, And Mode
34 Variance And Standard Deviation
35 Information Content (Or Surprisal)
36 Convergence, Epochs, And Inference In Machine Learning