[PYTHON] Theory and implementation of multiple regression models-why regularization is needed-

https://satopirka.com/2017/10/ridge/

Recommended Posts

Theory and implementation of multiple regression models-why regularization is needed-
[Python] I thoroughly explained the theory and implementation of logistic regression
Explanation and implementation of SocialFoceModel
Normalizing Flow theory and implementation
[Python] I thoroughly explained the theory and implementation of decision trees
Explanation and implementation of PRML Chapter 4
Introduction and Implementation of JoCoR-Loss (CVPR2020)
Explanation and implementation of ESIM algorithm
Introduction and implementation of activation function
Explanation and implementation of simple perceptron
Simple neural network theory and implementation
Implementation and experiment of convex clustering method
Review the concept and terminology of regression
PointNet theory and implementation (point cloud data)
Explanation and implementation of Decomposable Attention algorithm
Comparison of L1 regularization and Leaky Relu
Understand and implement ridge regression (L2 regularization)
Gaussian process regression Numpy implementation and GPy
[Python] Comparison of Principal Component Analysis Theory and Implementation by Python (PCA, Kernel PCA, 2DPCA)
Deep Learning from scratch The theory and implementation of deep learning learned with Python Chapter 3
Build a python environment to learn the theory and implementation of deep learning
[Python] I thoroughly explained the theory and implementation of support vector machine (SVM)