머신 러닝(Machine Learning)

Agenda

 

1. Artificial Intelligence

2. Machine Learning(Gradient Descent)

3. Model Validation

4. Regression Analysis

5. Logistic Regression

6. Decision Tree

7. Random Forest(Ensemble)

8. K-means Clustering

9. K-Nearest Neighbors

 

 

 

Validation Approach는 (딥러닝에서는)Train과 Validation과 Test 이렇게 3개로 쪼개서 확인함.
그 외 Cross Validation이라고 3개 이상 더 있음.



from sklearn.model_selection import train_test_split  ==> test size 기준으로 나누고 나머지는 Training Data에 해당함.

지도학습 중, 
<Regression Analysis : 회귀분석>
from scipy import stats ==> Scipy패키지를 이용하여 카이제곱 검정과 집단간 평균차이 검정