Machine_Learning

The study of computer algorithms that improve automatically through experience. (from Wikipedia)

Machine Learning A-Z (Codes and Datasets) is from https://www.udemy.com/course/machinelearning/.

Data preprocessing template

Regression

• Simple Linear Regression
• Multiple Linear Regression
• Polynomial Regression
• Support Vector Regression(SVR)
• Decision Tree Regression
• Random Forest Regression

Classification

• Logistic regression
• K-Nearest Neighbors(K-NN)
• Support Vector Machine(SVM)
• Kernel SVM
• Naive Bayes
• Decision Tree Classification
• Random Forest Classification

Clustering

• K-Means Clustering
• Hierarchical Clustering

Association Rule

• Apriori
• Eclat

Reinforcement

• Upper Confidence Bound(UCB)
• Thompson Sampling

Natural Language Processing

• Natural Language Processing

Practice

• Breast Cancer
• Height(Linear Regression)
• Height(Support Vector Regression)
• Titanic(K-Nearest Neighbors)
• IMDB(Natrual Language Process)
• Digits Classification(Deep Learning)
• Traffic Classification(Deep Learning)
• IMDB(RNN)

reference

• https://www.udemy.com/course/machinelearning/
• https://www.superdatascience.com/pages/machine-learning