"Collaborative filtering can be divided into users or items filtering. With its excellent speed and robustness, collaborative filtering is hot in the global Internet field. 😃😃"

Decision Tree is one of classical algorithms in machine learning. It can be used as both a classification model and a regression model. It is also suitable as a ensemble model, such as Random Forest. The history of Desicion Tree has three stages: ID3, C4.5 and CART

This is a summary of using logistic regression libraries in sklearn. Focus on the matters that should be paid attention to in the tuning.

"What is the lasso regression? Add L2 norm into loss function."

"Logistic Regression is a kind of very classical and basic classification algorithm."

"Linear Regression is the beginning and the most basic algorithm."

"A standard approach in regression analysis to approximate the solution of overdetermined systems."

When improving the model parameters of machine learning algorithms, that is, unconstrained optimalization problem.
Gradient Descent method is one of most common used methods. The other one is the least square method. Here is a complete summary of the gradient descent method.

"Priori Probability + data = Posterior probability"