Machine Learning (4) 썸네일형 리스트형 KNN Regression ( K-근접이웃 회귀 _ (K-nearest neighbors) ) 개념 및 python 예제 KNN(K-nearest neighbors) Regression -> K-근접이웃 회귀 1. 정의 가까운 점들을 기준으로 , 점들의 평균으로 예측하는 것 2. 작동방식 13번 점을 예측하고자 할 경우, k=3이다. 선택된 점은 6, 5, 1번점이 선택되었고, 13Predict = (77+72+60)/3 = 69.66 3. 거리 계산방법 1). Euclidean Distance: Euclidean distance is calculated as the square root of the sum of the squared differences between a new point (x) and an existing point (y). 2). Manhattan Distance : This is the distanc.. Decision Tree Classification ( 의사결정분류) 개념과 python 예제 Decision Tree Classification 1. 정의 참조 : Decision Tree Regression 2. Python Example from sklearn.datasets import load_iris import io import pydot from IPython.core.display import Image from sklearn.tree import export_graphviz import matplotlib as mpl import numpy as np import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix iris = load_iris() X = iris.data[:, [2, 3]] y = iris.. Machine Learning Study List 1. Regression Decision Tree Regression Generalized Linear Model - Regression Linear Regression XGB Regression Random Forest Regression KNN regression Ridge Regression Lasoo Regression Elastic Net Regression Classification Decision Tree Classification Logistic Regression SVM Classification XGB Classification KNN Classification Naive Bayes Random Forest Classification 2. Clustering 3. TimeSeriese .. Study List 1. Image Classification 1) Inception 2) VGG 3) ResNet 4) DenseNet 5) MobileNet 6) CapsNet 7) R - CNN 2. Image GAN 1) GAN 2) DCGAN 3) LSGAN 4) ACGAN 5) Pregressive GAN 6) Stack GAN 7) Pix2Pix 8) Cycle GAN 9) Style GAN 3. Image Segmentation 4. Image Detection 5. Image Similarity 이전 1 다음