ashray-00 / teaching

Teaching GIT Repository

Launch kNN regression Jupyter notebook:

Launch kNN classification Jupyter notebook:

Launch linear regression (on 1d input) Jupyter notebook:

Launch linear regression (on 2d input) Jupyter notebook:

Launch Bivariate Gaussian density Jupyter notebook:

Launch z score example:

Launch Training error example:

Launch Generalization error approximation example with validation set approach:

Launch Generalization error approximation example with different methods for synthetic data:

Launch Generalization error approximation example with different methods for cancer data:

Launch Demonstration of Bias - Variance tradeoff:

Launch Comparison between linear and non-linear classification:

Launch Comparison between linear and quadratic discriminant analysis:

Launch demo of kMeans clustering:

Launch PCA compression demo:

Launch PCA synthesis demo:

Launch demo for regression using quadratic polynomial basis expansion (1D):

Launch demo for regression using quadratic polynomial basis expansion (2D):

Launch demo for regression using kernel model:

Launch demo for Gradient Decent methods applied in linear regression:

Launch Neural Network regression demo in Keras:

Launch Neural Network weight initialization demo in Keras:

Launch Neural Network batch normalization demo in Keras:

Launch Neural Network image classification with MLP and CNN demo in Keras: