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2025/02/24 4

[Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„ : ์ถ”๊ฐ€ EDA ๋ฐ ML ๋ฒˆํ˜ธ ์˜ˆ์ธก

2025.02.18 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ์˜ˆ์ธก์˜ ๋ถˆ๊ฐ€๋Šฅ์„ฑ2025.02.19 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ๋ฒˆํ˜ธ ๋ถ„์„๊ณผ ํŒจํ„ด ์ฐพ๊ธฐ(EDA) ๋กœ๋˜ ๋ฐ์ดํ„ฐ ๋ถ„์„์„ ํ†ตํ•ด ๋‹น์ฒจ ๋ฒˆํ˜ธ์˜ ํŒจํ„ด์„ ์ฐพ์•„๋ณด๊ณ , XGBoost๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹ค์Œ ๋‹น์ฒจ ๋ฒˆํ˜ธ๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•œ๋‹ค. ์ด๋ฒˆ ๋ถ„์„์—์„œ๋Š” ํ™€์ˆ˜/์ง์ˆ˜ ๋น„์œจ, ๋‚ฎ์€ ์ˆซ์ž vs ๋†’์€ ์ˆซ์ž ๋น„์œจ, ์›”๋ณ„ ๋‹น์ฒจ ๋ฒˆํ˜ธ ๋ถ„์„ ๋“ฑ์„ ์ง„ํ–‰ํ•˜๊ณ , ๋จธ์‹ ๋Ÿฌ๋‹ ๋ชจ๋ธ์„ ํ™œ์šฉํ•ด ๋ฒˆํ˜ธ๋ฅผ ์˜ˆ์ธกํ•ด๋ณผ ๊ฒƒ์ด๋‹ค.1. ํ™€์ˆ˜ vs ์ง์ˆ˜ and ๋‚ฎ์€ ์ˆซ์ž(1~22) vs ๋†’์€ ์ˆซ์ž(23~45) ๋น„์œจ ๋ถ„์„๋กœ๋˜ ๋‹น์ฒจ ๋ฒˆํ˜ธ์—์„œ ํ™€์ˆ˜์™€ ์ง์ˆ˜์˜ ์ถœํ˜„ ๋น„์œจ์„ ๋ถ„์„ํ•œ๋‹ค.def odd_eve..

[Learn][English] ์—ฌํ–‰์—์„œ ์œ ์šฉํ•œ ์˜์–ด ํ‘œํ˜„: "Do you take credit cards?" - ์‹ ์šฉ์นด๋“œ ๋ฐ›๋‚˜์š”?

ํ•ด์™ธ ์—ฌํ–‰์„ ํ•˜๊ฑฐ๋‚˜ ์™ธ๊ตญ์—์„œ ์‡ผํ•‘์„ ํ•  ๋•Œ ๊ฒฐ์ œ ์ˆ˜๋‹จ์„ ํ™•์ธํ•˜๋Š” ๊ฒƒ์€ ๋งค์šฐ ์ค‘์š”ํ•˜๋‹ค. ํŠนํžˆ ์‹ ์šฉ์นด๋“œ๋ฅผ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ํ™•์ธํ•ด์•ผ ํ•  ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ์ด๋•Œ ์œ ์šฉํ•œ ์˜์–ด ํ‘œํ˜„์ด ๋ฐ”๋กœ "Do you take credit cards?"์ด๋‹ค. ์ด๋ฒˆ ๊ธ€์—์„œ๋Š” ์ด ํ‘œํ˜„์˜ ์˜๋ฏธ์™€ ํ•จ๊ป˜ ๋‹ค์–‘ํ•œ ์‘์šฉ ํ‘œํ˜„์„ ์‚ดํŽด๋ณด๊ฒ ๋‹ค.1. "Do you take credit cards?"์˜ ์˜๋ฏธ"Do you take credit cards?"๋Š” "์‹ ์šฉ์นด๋“œ ๋ฐ›๋‚˜์š”?"๋ผ๋Š” ๋œป์œผ๋กœ, ๊ฐ€๊ฒŒ๋‚˜ ์‹๋‹น์—์„œ ๊ฒฐ์ œ ๋ฐฉ๋ฒ•์„ ํ™•์ธํ•  ๋•Œ ์‚ฌ์šฉํ•˜๋Š” ํ‘œํ˜„์ž„."Do you take ~?" → ํŠน์ • ๊ฒฐ์ œ ์ˆ˜๋‹จ์ด ๊ฐ€๋Šฅํ•œ์ง€ ๋ฌผ์–ด๋ณผ ๋•Œ ์‚ฌ์šฉ"credit cards" → ์‹ ์šฉ์นด๋“œ (Visa, Mastercard, AMEX ๋“ฑ)์ด ์งˆ๋ฌธ์„ ํ•˜๋ฉด ์ ์›์ด ์‹ ์šฉ์นด๋“œ ๊ฒฐ์ œ๊ฐ€ ๊ฐ€๋Šฅํ•œ์ง€,..

[Python][pandas] DataFrame ํ–‰๋ณ„ ์ˆœํšŒ(iterate) ๋ฐฉ๋ฒ• ์ •๋ฆฌ

Pandas์˜ DataFrame์—์„œ ํ–‰์„ ์ˆœํšŒ(iterate)ํ•ด์•ผ ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ์ข…์ข… ์žˆ๋‹ค. ํ•˜์ง€๋งŒ Pandas๋Š” ๋ฒกํ„ฐํ™” ์—ฐ์‚ฐ์ด ํ›จ์”ฌ ๋น ๋ฅด๊ธฐ ๋•Œ๋ฌธ์—, ๊ฐ€๋Šฅํ•˜๋ฉด apply() ๊ฐ™์€ ๋ฉ”์„œ๋“œ๋ฅผ ํ™œ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ข‹๋‹ค. ๊ทธ๋ ‡๋‹ค๋ฉด, ์–ธ์ œ ํ–‰์„ ์ˆœํšŒํ•ด์•ผ ํ• ๊นŒ? ๊ทธ๋ฆฌ๊ณ  ์–ด๋–ค ๋ฐฉ๋ฒ•์ด ๊ฐ€์žฅ ํšจ์œจ์ ์ผ๊นŒ? ์ด๋ฒˆ ๊ธ€์—์„œ๋Š” ๋‹ค์–‘ํ•œ ๋ฐฉ๋ฒ•์„ ์ •๋ฆฌํ•ด๋ณธ๋‹ค.1. iterrows() ์‚ฌ์šฉํ•˜๊ธฐiterrows()๋Š” ๊ฐ€์žฅ ๋งŽ์ด ์‚ฌ์šฉ๋˜๋Š” ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜์ง€๋งŒ, ์„ฑ๋Šฅ์ด ๋Š๋ฆฌ๋‹ค๋Š” ๋‹จ์ ์ด ์žˆ๋‹ค. ๊ฐ ํ–‰์„ index, Series ํ˜•ํƒœ๋กœ ๋ฐ˜ํ™˜ํ•œ๋‹ค.import pandas as pd# ์˜ˆ์ œ ๋ฐ์ดํ„ฐdata = {'A': [1, 2, 3], 'B': [4, 5, 6]}df = pd.DataFrame(data)# iterrows ์‚ฌ์šฉfor index, row in d..

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