📄️ KDD & Data Characterization
一些散的知识点
📄️ Linear Regression and Gradient Descent Optimization
Base（想跳可以跳
📄️ Regression Analysis and Feature Selection
先来复习点基础概念
📄️ Performance Metrics
Confusion Matrix for Binary Classification
📄️ ANN
Intro
📄️ PROJECT-1
1. Introduction
📄️ kNNs and Decision Trees
kNNs and Decision Trees
📄️ SVMs and the Kernel Trick
SVM
📄️ Ensemble Learning
Ensemble Learning
📄️ Naïve Bayes Classifier
Naïve Bayes Classifier
📄️ Clustering -- k-Means&Hierarchical Clustering
Clustering: k-Means&Hierarchical Clustering
📄️ Nonlinear and Density-based Clustering
Nonlinear and Density-based Clustering
📄️ Association Rules Mining
Association Rules Mining
📄️ PROJECT-2
1. Introduction