14_ML_modules.py

##This is a python script to demonstrate ML modules

#These are some important ML modules
#numpy, pandas, matplotlib, seaborn, sklearn, scikit-learn, scipy, statsmodels

#DL modules
#tensorflow, keras, pytorch, mxnet

#AI modules
#nltk, spacy, gensim

#Some popular ML Algorithms
#Linear Regression, Logistic Regression, KNN, K-Means, Decision Tree, Random Forest, SVM, Naive Bayes, Neural Networks, Deep Learning, etc.

#Some popular DL Algorithms
#ANN, CNN, RNN, LSTM, GRU etc

#Computer Vision Algorithms
#HOG, SIFT, SURF, FAST, BRIEF, ORB, BRISK, FREAK, AKAZE, KAZE, MSER, GFTT, HARRIS, DENSE, BOW, etc

#Natural Language Processing Algorithms
#Word2Vec, GloVe, FastText, BERT, GPT, GPT-2, GPT-3, etc

#Data Science Algorithms
#PCA, LDA, ICA, SVD, KPCA, KDA, KICA, KSVD, etc

#Some popular AI Algorithms
#NLP, NLU, NLG, NER, OCR, ASR, TTS, GAN, RNN, LSTM, GRU etc

#
# 
#Abbreviations 
# 
#
#ML = Machine Learning
#DL = Deep Learning
#AI = Artificial Intelligence
#NLP = Natural Language Processing
#NLU = Natural Language Understanding
#NLG = Natural Language Generation
#NER = Named Entity Recognition
#OCR = Optical Character Recognition
#ASR = Automatic Speech Recognition
#TTS = Text to Speech
#GAN = Generative Adversarial Network
#RNN = Recurrent Neural Network
#LSTM = Long Short Term Memory
#GRU = Gated Recurrent Unit
#ANN = Artificial Neural Network
#CNN = Convolutional Neural Network
#RNN = Recurrent Neural Network
#SVM = Support Vector Machine
#KNN = K-Nearest Neighbors
#K-Means = K-Means Clustering
#PCA = Principal Component Analysis
#LDA = Linear Discriminant Analysis
#ICA = Independent Component Analysis
#SVD = Singular Value Decomposition
#KPCA = Kernel Principal Component Analysis
#KDA = Kernel Discriminant Analysis
#KICA = Kernel Independent Component Analysis
#KSVD = Kernel Singular Value Decomposition