Machine_Learning_A-Z

Programming Language: Python

Library:
Pandas
Numpy
Matplotlib.pyplot
Sklearn

1. Data preprocssing
   Categorical
   Hotencoding
   Normalization
   Training set and test set
   Visualization
2. Regression
   Single Variable regression
   Multiple Variable regression
   Polynomial Regression
   Support Vector Regression
   Decision tree Regression
3. Logistic Regression
   K-nn
   SVM
   Kernel SVM
   Naive Bayes
   Decision tree
   Random Decision tree
4. Clustering
   K means
   Hierarchical
5. Dimensionality reduction
   Principal Component Analysis (PCA)
   Kernel PCA
   Linear Discriminant Analysis (LDA)

Reference to Udemy Machine_Learning A-Z course