- Class implement Linear Regression with one variable
- Calculate weights and biases
- Visualize all point of data and draw linear line to classify
- Loss function calculate error
- Class implement Logistic Regression with one variable
- Calculate weights and biases
- Visualize all point of data and draw logistic line to classify
- Loss function calculate error
- Using Iris Dataset
- Calculate Euclide Distance
- Predict with k = 3 and k = 5
- Class implement Linear Support Vector Machine
- Calculate weights and biases
- Visualize all point of data and draw linear SVM line
- Class implement ANN
- Calculate weights
- Model has 2 layer, layer 1 has 7 inputs and 15 cells, layer 2 has one cells and 15 inputs