ColumnTransformer-class
                        Column Transformer
DecisionTree-class      Decision Tree Model
KMeans-class            KMeans Clustering
KNN-class               K-Nearest Neighbors Model
LabelEncoder-class      Label Encoder
LinearRegression-class
                        Linear Regression Model
LogisticRegression-class
                        Logistic Regression Model
MinMaxScaler-class      Standard Scaler
OneHotEncoder-class     One Hot Encoder
PCA-class               Principal Component Analysis
Pipeline-class          Pipeline
RandomForest-class      Random Forest Model
RidgeRegression-class   Ridge Regression Model
SoftmaxRegression-class
                        Softmax Regression Model
StandardScaler-class    Drop Constant Columns
accuracy_score          Accuracy Score
confusion_matrix        Confusion Matrix
confusion_stats         Confusion Matrix Statistics
drop_constant_columns   Drop Constant Columns
f1_score                F1 Score
find_best_k             Find Best K
fit_linear_model        Fit Linear Model (Fast C++ backend)
macro_f1                Macro Precision
macro_precision         Macro Precision
macro_recall            Macro Precision
mse                     Mean Squared Error
plot_confusion_matrix   Plot Confusion Matrix
precision_score         Precision Score
predict_linear_model    Predict Linear Model
r2_score                R2 Score
recall_score            Recall Score
rmse                    Root Mean Squared Error
train_test_split        Train Test Split
