2020/05/16 Foot step

About Artificial Intelligence

Learned about 

-The difference factorize, one-hot-encoding

 

factorize() method는 categotical variables로 변환해 1 demension을 갖게합니다.

one-hot-encoding같은 경우에는 binary variables로 변환해 n dimensions을 출력합니다. 주로 toaaray()와 같이 사용합니다.

 

drop('column', axis=1) column을 제외한 복사본을 생성합니다.

dropna() axis를 0과 1로 지정할 수 있는데 0일 경우, missing values를 포함한 row를 삭제하고, 1일 경우에 missing values를 포함한 columns을 삭제합니다.

 

---

To-do list

• [x] Get up at 7 1
• [x] Organize the blanket
• [x] Put the flower on the windowsill
• [x] Ask Bill
• [x] Do machine learning
• [x] One day One commit
• [x] Get the supplements and the chocolate, make some water.
• [x] Drink coffee, Do the diary about sleeping and thoughts
• [x] Stretch your body for 20 min
• [x] Do Eng words
• [x] walnut and almonds
• [x] Go for cardio
  • [x] Have time to think about something new
• [x] Brush up on
• [x] Do blogging With data
• [x] Do out-put, Skim through again
• [x] Read AI news And the news
• [x] Do Intermittent fasting at 7
• [x] Stretch Ulnar nerve with 원동력 exercise
• [x] Put the flower back from the windowsill
• [x] Read books with my book teacher
• [x] Organize the day and create the next day's plan
• [x] R=VD Love and Thankfulness