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Classification
Classification
 
 
Regression
Regression
 
 
Section 10 - Logistic Regression
Section 10 - Logistic Regression
 
 
Section 11 - K-Nearest Neighbors (K-NN)
Section 11 - K-Nearest Neighbors (K-NN)
 
 
Section 12 - Support Vector Machine (SVM)
Section 12 - Support Vector Machine (SVM)
 
 
Section 13 - Kernel SVM
Section 13 - Kernel SVM
 
 
Section 14 - Naive Bayes
Section 14 - Naive Bayes
 
 
Section 15 - Decision Tree Classification
Section 15 - Decision Tree Classification
 
 
Section 16 - Random Forest Classification
Section 16 - Random Forest Classification
 
 
Section 17 - K-Means Clustering
Section 17 - K-Means Clustering
 
 
Section 18 - Hierarchical Clustering
Section 18 - Hierarchical Clustering
 
 
Section 19 - Apriori
Section 19 - Apriori
 
 
Section 20 - Eclat
Section 20 - Eclat
 
 
Section 21 - Upper Confidence Bound (UCB)
Section 21 - Upper Confidence Bound (UCB)
 
 
Section 22 - Thompson Sampling
Section 22 - Thompson Sampling
 
 
Section 23 - Natural Language Processing
Section 23 - Natural Language Processing
 
 
Section 24 - Artificial Neural Networks (ANN)
Section 24 - Artificial Neural Networks (ANN)
 
 
Section 25 - Convolutional Neural Networks (CNN)
Section 25 - Convolutional Neural Networks (CNN)
 
 
Section 26 - Principal Component Analysis (PCA)
Section 26 - Principal Component Analysis (PCA)
 
 
Section 27 - Linear Discriminant Analysis (LDA)
Section 27 - Linear Discriminant Analysis (LDA)
 
 
Section 28 - Kernel PCA
Section 28 - Kernel PCA
 
 
Section 29 - Model Selection
Section 29 - Model Selection
 
 
Section 3
Section 3
 
 
Section 30 - XGBoost
Section 30 - XGBoost
 
 
Section 4 - Simple Linear Regression
Section 4 - Simple Linear Regression
 
 
Section 5 - Multiple Linear Regression
Section 5 - Multiple Linear Regression
 
 
Section 6 - Polynomial Regression
Section 6 - Polynomial Regression
 
 
Section 7 - Support Vector Regression (SVR)
Section 7 - Support Vector Regression (SVR)
 
 
Section 8 - Decision Tree Regression
Section 8 - Decision Tree Regression
 
 
Section 9 - Random Forest Regression
Section 9 - Random Forest Regression
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
poetry.lock
poetry.lock
 
 
pyproject.toml
pyproject.toml
 
 

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