Machine Learning Models

These are my own machine learning models.

Table of Contents

• Data Preprocessing
• Regression Models
  • Simple Linear Regression
  • Multiple Linear Regression
  • Polynomial Regression
  • Support Vector Regression
  • Decision Tree Regression
  • Random Forest Regression
• Classification Models
  • Logistic Regression
  • KNN Classification
  • Support Vector Machines
  • Kernel SVM
  • Naive Bayes
  • Decision Tree Classification
  • Random Forest Classification
• Clustering
  • K-Means Clustering
  • Hierarchical Clustering
• Association Rule Learning
  • Apriori Association Rule
  • Eclat Model
• Reinforcement Learning
  • Upper Confidence Bound
  • Thompson Sampling
• Natural Language Processing
  • Bag of Words
• Deep Learning
  • Artificial Neural Network
    • Classification
    • Regression
  • Convolutional Neural Network
• Dimensionality Reduction
  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)
  • Kernel PCA
• Model Selection
  • K-Fold Cross Validation
  • Grid Search
  • Boosting
    • XGBoost
• Templates
  • Regression
  • Classification

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More to be Added Soon☺