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Libraries for Artificial Intelligent & Deep Learning
Libraries for Artificial Intelligent & Deep Learning


Machine Learning Topics


Linear Regression

Multiple Linear Regression

Polynomial Regression

Support Vector Regression (SVR)

Decision Tree Regression

Random Forest Regression

Logistic Regression

Principal Component Analysis (PCA)

Linear Discriminant Analysis (LDA)

K-fold Cross Validation

Grid Search


K-Nearest Neighbors (K-NN)

Support Vector Machine (SVM)

Kernal SVM

Naive Bayes

Decision Tree Classification

Random Forest Classification

K-Mean Clustering

Hierarchical Clustering




Upper Confidence Bound (UCB)

Thompson Sampling

Natural Language Processing

Artificial Neural Networks

Convolutional Neural Networks

Recurrent Neural Networks

Self-Organizing Maps

Boltzmann Machines