MMK TECHNOLOGIES https://validator.w3.org/feed/docs/rss2.html Estimates(point & interval) Courses Home tanH (Hyperbolic Tangent Activation) Python-DecisionTreeClassifier CHAID Py-DecisionTreeRegressor-1 LR Problems Decision Trees LazyRegressor Model Evaluation Py-DecisionTreeRegressor-2 Hybrid Selection 2. Backward Elimination 1.Forward Selection Wrapper Method 4.Exhaustive Search 3. Ridge (L2 Regularization) 2. Lasso(L1 Regularization) 1. Decision Tree/RFC Embedded Method 6.Mutual Information 5.Univariate Selection 4.Chi-Square 3 Anova (f Test) 2. Correlation based 1.Variance Winzorisation Scaling Decimal Scaling L2 Normalization L1 Normalization + Logistic Regression L1 Normalization – MLR Vector Normalizations Parametric Scaling Transformations Skewness Calculation Scaling to Shape Range based Quantile Transformation Robust Scaling Z-score Normalization Distribution based Feature Scaling PolynomialEncoder ContrastEncoders LeaveOneOut Encoder FrequencyEncoding HashingEncoder Binary Encoder Ordinal Encoder