A) Machine Learning

LR           Logistic Regression

DT           Decision Tree

RF           Random Forest

KNN       K-Nearest Neighbours

SVM      Support Vector Machine

NB     Naïve Bayes

B) Dep Learning

ANN      Artificial Neural Network

CNN       Convolutional Neural Network

RNN       Recurrent Neural Network

LSTM     Long Short-Term Memory

BiLSTM Bidirectional LSTM

GRU       Gated Recurrent Unit

Transformer       Transformer

GAN      Generative Adversarial Network  Image generation

C) Ensemble Learning

1.Bagging

 Adabag

2. Boosting

GBM                           Gradient Boosting Machine

XGBoost                     Extreme Gradient Boosting

LGBM                         LightGBM

CatBoost                   Optimized for categorical variables

3. Stacking