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์ „์ฒด ๊ธ€ 194

[Python][AI] ์•„๊ธฐ์˜ ์‹ฌ์žฅ ์†Œ๋ฆฌ๋กœ ์„ฑ๋ณ„ ์˜ˆ์ธก? – ๋ฐ์ดํ„ฐ์…‹๊ณผ ๋…ผ๋ฌธ ์†Œ๊ฐœ

์•„๋‚ด๊ฐ€ ์ž„์‹ ํ•˜์—ฌ ์–ผ๋งˆ์ „์— ์‚ฐ๋ถ€์ธ๊ณผ๋ฅผ ๋‹ค๋…€์™”์Šต๋‹ˆ๋‹ค. ์•„์ง 1.5cm์— ๋ถˆ๊ณผํ•œ ํƒœ์•„์˜ ์‹ฌ์žฅ ์†Œ๋ฆฌ๋ฅผ ๋“ค์œผ๋‹ˆ ์‹ฌ์ •์„ ์ด๋ฃจ ๋งํ•˜๊ธฐ ์–ด๋ ต๋”๊ตฐ์š”. ๋ณ‘์›์„ ๋‚˜์˜ค๊ณ  ์นœ๊ตฌ๋“ค๊ณผ ์–˜๊ธฐ๋ฅผ ๋‚˜๋ˆ ๋ณด๋‹ˆ ์‹ฌ์žฅ ์†Œ๋ฆฌ๋ฅผ ๋“ฃ๊ณ  ์•„๋“ค์ธ์ง€ ๋”ธ์ธ์ง€ ํŒ๋‹จํ•  ์ˆ˜ ์žˆ๋‹ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ์ฐจ์†Œ๋ฆฌ์™€ ๋น„์Šทํ•˜๋‹ค๋ฉด ์•„๋“ค, ๋ง๋ฐœ๊ตฝ ์†Œ๋ฆฌ๊ฐ€ ๋‚œ๋‹ค๋ฉด ๋”ธ์ด๋ผ๋Š” ์–˜๊ธฐ๋ฅผ ๋“ค์–ด ๋ณด์…จ๋‚˜์š”? ์ด์— ํ˜ธ๊ธฐ์‹ฌ์ด ์ƒ๊ฒจ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๊ฐ€ ์žˆ๋Š”์ง€ ์ฐพ์•„๋ณด์•˜๊ณ , ์ฐธ๊ณ ํ• ๋งŒํ•œ ๋ฐ์ดํ„ฐ์…‹๊ณผ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์ฐพ์„ ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ์…‹๊ณผ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์†Œ๊ฐœํ•˜๊ณ  ์‹ค์Šต์„ ์ง„ํ–‰ํ•˜๋ฉฐ ์•„๋“ค์ผ์ง€ ๋”ธ์ผ์ง€ ํŒ๋ณ„ํ•˜๋Š” ์‹ค์Šต์„ ์ง„ํ–‰ํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค.1. Shiraz University Fetal Heart Sounds Database(SUFHSDB) ์†Œ๊ฐœSUFHSDB๋Š” ์ด๋ž€ Shiraz University์—์„œ ์ˆ˜์ง‘ํ•œ ํƒœ์•„ ๋ฐ ์‚ฐ๋ชจ์˜ ์‹ฌ..

[Learn][English] ์—ฌํ–‰์—์„œ ์œ ์šฉํ•œ ์˜์–ด ํ‘œํ˜„: "Could you recommend a good place to eat?" - ๋ง›์ง‘ ์ถ”์ฒœํ•ด ์ฃผ์‹ค ์ˆ˜ ์žˆ๋‚˜์š”?

์—ฌํ–‰์„ ํ•˜๋ฉด์„œ ๊ฐ€์žฅ ์ฆ๊ฑฐ์šด ์ˆœ๊ฐ„ ์ค‘ ํ•˜๋‚˜๋Š” ํ˜„์ง€์—์„œ ๋ง›์žˆ๋Š” ์Œ์‹์„ ๋จน๋Š” ๊ฒƒ์ด๋‹ค. ํ•˜์ง€๋งŒ ๋‚ฏ์„  ๊ณณ์—์„œ ์ข‹์€ ๋ ˆ์Šคํ† ๋ž‘์„ ์ฐพ๊ธฐ๋ž€ ์‰ฝ์ง€ ์•Š๋‹ค. ์ด๋Ÿด ๋•Œ ํ˜„์ง€์ธ์ด๋‚˜ ํ˜ธํ…” ์ง์›์—๊ฒŒ "Could you recommend a good place to eat?"๋ผ๊ณ  ๋ฌผ์–ด๋ณด๋ฉด ํ˜„์ง€์˜ ๋ง›์ง‘ ์ •๋ณด๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฒˆ ๊ธ€์—์„œ๋Š” ์ด ํ‘œํ˜„์˜ ์˜๋ฏธ, ์‘์šฉ ํ‘œํ˜„, ์‹ค์ œ ๋Œ€ํ™” ์˜ˆ๋ฌธ์„ ์†Œ๊ฐœํ•˜๊ฒ ๋‹ค.1. "Could you recommend a good place to eat?"์˜ ์˜๋ฏธ"Could you recommend…?" → "์ถ”์ฒœํ•ด ์ฃผ์‹ค ์ˆ˜ ์žˆ๋‚˜์š”?""a good place to eat" → "๋ง›์žˆ๋Š” ์Œ์‹์„ ๋จน์„ ์ˆ˜ ์žˆ๋Š” ์ข‹์€ ๊ณณ"์ด ํ‘œํ˜„์€ ์ƒ๋Œ€๋ฐฉ์—๊ฒŒ ์ข‹์€ ์‹๋‹น์ด๋‚˜ ๋ง›์ง‘์„ ์ถ”์ฒœํ•ด ๋‹ฌ๋ผ๊ณ  ์ •์ค‘ํ•˜๊ฒŒ ์š”์ฒญํ•˜๋Š” ๋ฌธ์žฅ์ž„. ์˜ˆ๋ฌธ:โœ” A: C..

[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..

[Learn][English] ๋น„์ฆˆ๋‹ˆ์Šค ์ด๋ฉ”์ผ ํ‘œํ˜„: ๋น ๋ฅธ ๊ฒฐ์ •์— ๋Œ€ํ•œ ๊ฐ์‚ฌ - "Thank you for your prompt decision."

๋น„์ฆˆ๋‹ˆ์Šค ํ™˜๊ฒฝ์—์„œ๋Š” ์‹ ์†ํ•œ ์˜์‚ฌ ๊ฒฐ์ •์ด ์ค‘์š”ํ•œ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์Œ. ์ƒ๋Œ€๋ฐฉ์ด ๋น ๋ฅด๊ฒŒ ๊ฒฐ์ •์„ ๋‚ด๋ ค์คฌ์„ ๋•Œ, ์ด์— ๋Œ€ํ•œ ๊ฐ์‚ฌ๋ฅผ ํ‘œํ•˜๋Š” ๊ฒƒ์€ ๋น„์ฆˆ๋‹ˆ์Šค ๋งค๋„ˆ์ƒ ์ค‘์š”ํ•œ ์š”์†Œ์ด๋‹ค. ๋‹จ์ˆœํžˆ "Thank you."๋ผ๊ณ  ํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ๋” ์ •์ค‘ํ•˜๊ณ  ์ž์—ฐ์Šค๋Ÿฌ์šด ํ‘œํ˜„์„ ์‚ฌ์šฉํ•˜๋ฉด ์ข‹์€ ์ธ์ƒ์„ ๋‚จ๊ธธ ์ˆ˜ ์žˆ๋‹ค. ์ด๋ฒˆ ๊ธ€์—์„œ๋Š” ๋น ๋ฅธ ๊ฒฐ์ •์— ๋Œ€ํ•œ ๊ฐ์‚ฌ ํ‘œํ˜„๊ณผ ์‹ค์ œ ์ด๋ฉ”์ผ ์˜ˆ๋ฌธ์„ ์†Œ๊ฐœํ•˜๊ฒ ๋‹ค.1. ๋น ๋ฅธ ๊ฒฐ์ •์— ๊ฐ์‚ฌํ•  ๋•Œ ์‚ฌ์šฉํ•˜๋Š” ํ‘œํ˜„๊ธฐ๋ณธ์ ์ธ ํ‘œํ˜„Thank you for your prompt decision.(๋น ๋ฅธ ๊ฒฐ์ •์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.)We appreciate your swift decision.(๋น ๋ฅธ ๊ฒฐ์ •์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.)Many thanks for making a quick decision.(๋น ๋ฅธ ๊ฒฐ์ •์„ ๋‚ด๋ ค์ฃผ์…”์„œ ์ •๋ง ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.)We are..

[์ผ์ƒ][๋ง›์ง‘] ์ „์ฃผ ๋ฒ„์„ฏ์ „๊ณจ ๋ง›์ง‘ ์žฅ์ˆ˜๋ฒ„์„ฏ๋งˆ์„

์ฃผ์†Œ : ์ „๋ถํŠน๋ณ„์ž์น˜๋„ ์ „์ฃผ์‹œ ์™„์‚ฐ๊ตฌ ์˜๊ฒฝ1๊ธธ 15https://naver.me/GpeT5YRk ๋„ค์ด๋ฒ„ ์ง€๋„์žฅ์ˆ˜๋ฒ„์„ฏ๋งˆ์„map.naver.com ์–ด๋จธ๋‹ˆ, ์•„๋‚ด์™€ ํ•จ๊ป˜ ์ ์‹ฌ ํ•œ ๋ผ๋ฅผ ๊ฐ™์ด ๋จน๊ธฐ๋กœ ํ•˜๋ฉด์„œ ์ฐพ์•„๋ณธ ์‹๋‹น. ๋ฐ˜์ฐฌ๊ณผ ์Œ์‹์ด ์ •๊ฐˆํ•˜๊ณ  ๋‹ค์–‘ํ•œ ๋ฒ„์„ฏ๊ณผ ํ•จ๊ป˜ ํ˜ธ์ฃผ์‚ฐ ์™€๊ทœ๋ฅผ ๋จน์„ ์ˆ˜ ์žˆ๋Š” ๋ฒ„์„ฏ์ „๊ณจ ๋ง›์ง‘์ด ์žˆ์–ด ๋‹ค๋…€์™”๋‹ค. ์ฃผ์ฐจ์žฅ์€ ์‹๋‹น์—๋„ ์žˆ์ง€๋งŒ ๊ณจ๋ชฉ์œผ๋กœ ๋น ์ง€๋Š” ๊ธธ์—๋„ 2, 3์ฃผ์ฐจ์žฅ์ด์žˆ๋‹ค. ์ฐธ๊ณ ํ•˜์‹œ๊ธธ.  11์‹œ 40๋ถ„ ์ฏค ๋ฐฉ๋ฌธํ•˜์˜€์„๋•Œ ๋‹คํ–‰ํžˆ ์ž๋ฆฌ๊ฐ€ ์žˆ์—ˆ๋‹ค. 2์ธต ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ 3์ธต๋„ ์šด์˜ํ•˜์‹œ์ง€๋งŒ, ๋นˆ์ž๋ฆฌ๊ฐ€ ๋ˆˆ์— ์•ˆ ๋Œ ์ •๋„๋กœ ์†๋‹˜์ด ๋งŽ์•˜๋‹ค. ์–˜๊ธฐ๋ฅผ ๋“ค์–ด๋ณด๋‹ˆ ์ „๋ถ€ํ„ฐ ํ•ญ์ƒ ์˜ฌ๋•Œ๋งˆ๋‹ค ์‚ฌ๋žŒ์ด ๋งŽ๋‹ค๊ณ  ํ•˜๋”๋ผ. ์šฐ๋ฆฌ๋Š” 3๋ช…์ด๋ผ ์žฅ์ˆ˜๋ฒ„์„ฏ์ „๊ณจ ์ค‘์„ ์‹œ์ผฐ๋‹ค. ์ „๊ณจ์ด ๋“๊ธฐ ์ „๊นŒ์ง€ ์Œ์‹๋“ค์„ ๋ง›๋ดค๋Š”๋ฐ, ์ž๊ทน์ ์ด์ง€ ์•Š๊ณ  ๊ทธ๋ ‡๋‹ค๊ณ  ์Šด์Šดํ•˜..

[Learn][English] ๋น„์ฆˆ๋‹ˆ์Šค ๋ฉ”์ผ ํ‘œํ˜„ "We would be grateful if you could confirm…" – (…์„ ํ™•์ธํ•ด ์ฃผ์‹œ๋ฉด ๊ฐ์‚ฌํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค.)

๋น„์ฆˆ๋‹ˆ์Šค ์ด๋ฉ”์ผ์„ ์ž‘์„ฑํ•  ๋•Œ ์ƒ๋Œ€๋ฐฉ์—๊ฒŒ ํ™•์ธ์„ ์š”์ฒญํ•˜๋Š” ์ƒํ™ฉ์ด ์ž์ฃผ ๋ฐœ์ƒํ•œ๋‹ค. ํ•˜์ง€๋งŒ ๋‹จ์ˆœํžˆ "Please confirm."์ด๋ผ๊ณ ๋งŒ ์“ฐ๋ฉด ๋„ˆ๋ฌด ์ง์„ค์ ์œผ๋กœ ๋ณด์ผ ์ˆ˜ ์žˆ๋‹ค. ์˜ค๋Š˜์€ ์ƒ๋Œ€๋ฐฉ์—๊ฒŒ ์ •์ค‘ํ•˜๊ฒŒ ํ™•์ธ์„ ์š”์ฒญํ•  ๋•Œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” "We would be grateful if you could confirm…"์ด๋ผ๋Š” ํ‘œํ˜„์„ ์‚ดํŽด๋ณด๊ฒ ๋‹ค.1. "We would be grateful if you could confirm…"์˜ ์˜๋ฏธ์ด ํ‘œํ˜„์€ "…์„ ํ™•์ธํ•ด ์ฃผ์‹œ๋ฉด ๊ฐ์‚ฌํ•˜๊ฒ ์Šต๋‹ˆ๋‹ค."๋ผ๋Š” ๋œป์œผ๋กœ, ์ƒ๋Œ€๋ฐฉ์—๊ฒŒ ์ •์ค‘ํ•˜๊ฒŒ ํ™•์ธ ์š”์ฒญ์„ ํ•  ๋•Œ ์‚ฌ์šฉํ•จ. ํŠนํžˆ ๋น„์ฆˆ๋‹ˆ์Šค ์ด๋ฉ”์ผ, ๊ณต์‹ ์š”์ฒญ, ํ˜‘์ƒ, ์ผ์ • ํ™•์ธ ๋“ฑ์˜ ์ƒํ™ฉ์—์„œ ์ž์ฃผ ์“ฐ์ž„. ์˜ˆ๋ฌธ:โœ” We would be grateful if you could confirm your a..

[Learn][English] ๊ณตํ•ญ์—์„œ ์œ ์šฉํ•œ ์˜์–ด ํ‘œํ˜„: "Where can I find the baggage claim?" (์ˆ˜ํ•˜๋ฌผ ์ฐพ๋Š” ๊ณณ์ด ์–ด๋””์ธ๊ฐ€์š”?)

์—ฌํ–‰์„ ํ•˜๋‹ค ๋ณด๋ฉด ๊ณตํ•ญ์—์„œ ์˜์–ด๋กœ ์งˆ๋ฌธํ•ด์•ผ ํ•˜๋Š” ์ƒํ™ฉ์ด ์ž์ฃผ ๋ฐœ์ƒํ•œ๋‹ค. ์˜ค๋Š˜์€ ๊ณตํ•ญ์—์„œ ํŠนํžˆ ์œ ์šฉํ•œ ํ‘œํ˜„ ์ค‘ ํ•˜๋‚˜์ธ "Where can I find the baggage claim?"์— ๋Œ€ํ•ด ์•Œ์•„๋ณด๊ฒ ๋‹ค.1. "Where can I find the baggage claim?"์˜ ์˜๋ฏธ์ด ํ‘œํ˜„์€ "์ˆ˜ํ•˜๋ฌผ ์ฐพ๋Š” ๊ณณ์ด ์–ด๋””์ธ๊ฐ€์š”?"๋ผ๋Š” ๋œป์œผ๋กœ, ๋น„ํ–‰๊ธฐ์—์„œ ๋‚ด๋ฆฐ ํ›„ ์ž์‹ ์˜ ์ง์„ ์ฐพ๊ธฐ ์œ„ํ•ด ํ•„์š”ํ•œ ์งˆ๋ฌธ์ž„. ๊ณตํ•ญ์ด ํฌ๊ณ  ๋ณต์žกํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ฒ˜์Œ ๋ฐฉ๋ฌธํ•˜๋Š” ๊ณณ์—์„œ๋Š” ์ˆ˜ํ•˜๋ฌผ ์ฐพ๋Š” ๊ณณ์„ ์‰ฝ๊ฒŒ ์ฐพ๊ธฐ ์–ด๋ ค์šธ ์ˆ˜ ์žˆ์Œ. ์ด๋Ÿด ๋•Œ ๊ณตํ•ญ ์ง์›์ด๋‚˜ ์•ˆ๋‚ด ๋ฐ์Šคํฌ์— ๋ฌผ์–ด๋ณด๋ฉด ์œ ์šฉํ•จ.2. "Where can I find the baggage claim?" ์˜ˆ๋ฌธ๊ณผ ์ƒํ™ฉ๋ณ„ ํ™œ์šฉ๋ฒ•โœ” A: Excuse me, where can I find the ba..

[Learn][English] "It’s not rocket science." – ๋ณ„๋กœ ์–ด๋ ค์šด ๊ฑฐ ์•„๋ƒ!

์˜์–ด๋ฅผ ๋ฐฐ์šฐ๋‹ค ๋ณด๋ฉด ์˜ํ™”๋‚˜ ๋“œ๋ผ๋งˆ์—์„œ ์ž์ฃผ ๋“ค๋ฆฌ๋Š” ํ‘œํ˜„์ด ์žˆ์ง€๋งŒ, ์ •ํ™•ํ•œ ๋œป์„ ๋ชจ๋ฅด๋ฉด ์ดํ•ดํ•˜๊ธฐ ์–ด๋ ค์šด ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ์˜ค๋Š˜์€ ๊ทธ๋Ÿฐ ํ‘œํ˜„ ์ค‘ ํ•˜๋‚˜์ธ “It’s not rocket science.”์— ๋Œ€ํ•ด ์•Œ์•„๋ณด๊ฒ ๋‹ค.1. “It’s not rocket science.”๋ž€?์ด ํ‘œํ˜„์„ ์ง์—ญํ•˜๋ฉด “๊ทธ๊ฑด ๋กœ์ผ“ ๊ณผํ•™์ด ์•„๋‹ˆ์•ผ.” ๋ผ๋Š” ๋œป์ด์ง€๋งŒ, ์‹ค์ œ ์˜๋ฏธ๋Š” “๋ณ„๋กœ ์–ด๋ ค์šด ๊ฒŒ ์•„๋‹ˆ์•ผ.” ๋˜๋Š” “๋ณต์žกํ•œ ์ผ์ด ์•„๋‹ˆ์•ผ.”๋ผ๋Š” ๋œป์ž„.์ฆ‰, ์–ด๋–ค ์ผ์ด ์ƒ๊ฐ๋ณด๋‹ค ์‰ฝ๊ฑฐ๋‚˜ ๊ฐ„๋‹จํ•˜๋‹ค๋Š” ๊ฒƒ์„ ๊ฐ•์กฐํ•  ๋•Œ ์‚ฌ์šฉํ•จ. ํŠนํžˆ ๋ˆ„๊ตฐ๊ฐ€๊ฐ€ ๋„ˆ๋ฌด ์–ด๋ ต๊ฒŒ ์ƒ๊ฐํ•  ๋•Œ, “๊ทธ๊ฑฐ ๊ทธ๋ ‡๊ฒŒ ์–ด๋ ค์šด ๊ฑฐ ์•„๋‹ˆ์•ผ!”๋ผ๊ณ  ๋งํ•  ๋•Œ ์œ ์šฉํ•จ.2. “It’s not rocket science.” ์˜ˆ๋ฌธA: How do I use this coffee machine? (์ด ์ปคํ”ผ ๋จธ..

[Python][AI] RAG (Retrieval-Augmented Generation)๋ž€ ๋ฌด์—‡์ธ๊ฐ€?

์ตœ๊ทผ ์ธ๊ณต์ง€๋Šฅ(AI) ๋ชจ๋ธ์ด ๋ฐœ์ „ํ•˜๋ฉด์„œ ๋Œ€ํ™”ํ˜• AI, ์ฑ—๋ด‡, ๋ฌธ์„œ ์š”์•ฝ, ์ฝ”๋“œ ์ƒ์„ฑ ๋“ฑ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์—์„œ ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ(NLP) ๊ธฐ์ˆ ์ด ํ™œ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ํŠนํžˆ, ๋Œ€ํ˜• ์–ธ์–ด ๋ชจ๋ธ(LLM, Large Language Model)์˜ ์„ฑ๋Šฅ์ด ๊ธ‰๊ฒฉํžˆ ํ–ฅ์ƒ๋˜๋ฉด์„œ ์ƒ์„ฑํ˜• AI(Generative AI)์˜ ๊ฐ€๋Šฅ์„ฑ์ด ๋”์šฑ ํ™•๋Œ€๋˜๊ณ  ์žˆ๋‹ค. ํ•˜์ง€๋งŒ ์ด๋Ÿฌํ•œ ๋ชจ๋ธ์—๋„ ๋ช‡ ๊ฐ€์ง€ ํ•œ๊ณ„๊ฐ€ ์žˆ๋‹ค.์‚ฌ์ „ ํ•™์Šต ๋ฐ์ดํ„ฐ์— ์˜์กด์ ์ž„ – LLM์€ ํ•™์Šต๋œ ๋ฐ์ดํ„ฐ ๋‚ด์—์„œ๋งŒ ์ •๋ณด๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์Œ. ์ตœ์‹  ์ •๋ณด๋‚˜ ์™ธ๋ถ€ ๋ฌธ์„œ๋ฅผ ์ฆ‰๊ฐ ๋ฐ˜์˜ํ•˜๋Š” ๊ฒƒ์ด ์–ด๋ ค์›€ํ™˜๊ฐ(Hallucination) ๋ฌธ์ œ – ์กด์žฌํ•˜์ง€ ์•Š๋Š” ์ •๋ณด๋ฅผ ์ƒ์„ฑํ•  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์Œ์ •ํ™•์„ฑ ๋ฐ ์‹ ๋ขฐ์„ฑ ๋ถ€์กฑ – ๋ชจ๋ธ์ด ์‚ฌ์‹ค๊ณผ ๋‹ค๋ฅธ ๋‚ด์šฉ์„ ํฌํ•จํ•  ์ˆ˜ ์žˆ์Œ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋“ฑ์žฅํ•œ ๊ธฐ์ˆ ์ด ๋ฐ”๋กœ RAG(Re..

[Python][pandas] Parquet ํŒŒ์ผ ํฌ๋งท: ๊ณ ์† ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ์— ์ตœ์ ํ™”๋œ ์ปฌ๋Ÿผ ์ €์žฅ ๋ฐฉ์‹

๋ฐ์ดํ„ฐ ๋ถ„์„๊ณผ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ•˜๋‹ค ๋ณด๋ฉด CSV, JSON, Excel ๋“ฑ์˜ ํŒŒ์ผ ํฌ๋งท์„ ์ž์ฃผ ์‚ฌ์šฉํ•˜๊ฒŒ ๋œ๋‹ค. ํ•˜์ง€๋งŒ ๋Œ€์šฉ๋Ÿ‰ ๋ฐ์ดํ„ฐ๋ฅผ ๋‹ค๋ฃฐ ๋•Œ๋Š” ์†๋„์™€ ์ €์žฅ ํšจ์œจ์„ฑ์ด ์ค‘์š”ํ•œ๋ฐ, ์ด๋Ÿด ๋•Œ Parquet ํฌ๋งท์ด ๊ฐ•๋ ฅํ•œ ๋Œ€์•ˆ์ด ๋  ์ˆ˜ ์žˆ๋‹ค.1. Parquet๋ž€?Apache Parquet๋Š” ์ปฌ๋Ÿผ ๊ธฐ๋ฐ˜ ์ €์žฅ ๋ฐฉ์‹(columnar storage format)์„ ์‚ฌ์šฉํ•˜๋Š” ์˜คํ”ˆ์†Œ์Šค ๋ฐ์ดํ„ฐ ํฌ๋งท์ž„. Hadoop ์ƒํƒœ๊ณ„์—์„œ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ, ๋Œ€์šฉ๋Ÿ‰ ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ์™€ ๋ถ„์„ ์„ฑ๋Šฅ์„ ๊ทน๋Œ€ํ™”ํ•˜๋Š” ๋ฐ ์ตœ์ ํ™”๋จ.ํŠน์ง•์ปฌ๋Ÿผ ๊ธฐ๋ฐ˜ ์ €์žฅ(Columnar Storage)CSV๋‚˜ JSON ๊ฐ™์€ ํฌ๋งท์€ ๋ฐ์ดํ„ฐ๋ฅผ ํ–‰(Row) ๋‹จ์œ„๋กœ ์ €์žฅํ•˜์ง€๋งŒ, Parquet์€ ์ปฌ๋Ÿผ(Column) ๋‹จ์œ„๋กœ ์ €์žฅํ•จํŠน์ • ์ปฌ๋Ÿผ๋งŒ ์ฝ์–ด๋„ ๋˜๋ฏ€๋กœ, ๋ถ„์„ ์†๋„๊ฐ€ ํ–ฅ์ƒ๋จ์••์ถ• ๋ฐ ์ธ์ฝ”๋”ฉ(Co..

[Learn][English] "Can I get this to go?" – ์Œ์‹ ํฌ์žฅ ์ฃผ๋ฌธํ•  ๋•Œ ์œ ์šฉํ•œ ์˜์–ด ํ‘œํ˜„

์‹๋‹น์ด๋‚˜ ์นดํŽ˜์—์„œ ์Œ์‹์„ ๋จน์ง€ ์•Š๊ณ  ํฌ์žฅํ•ด์„œ ๊ฐ€๊ณ  ์‹ถ์„ ๋•Œ ์–ด๋–ป๊ฒŒ ๋งํ•ด์•ผ ํ• ๊นŒ?๋ฐ”๋กœ "Can I get this to go?"๋ผ๋Š” ํ‘œํ˜„์„ ์‚ฌ์šฉํ•˜๋ฉด ๋œ๋‹ค.1. "Can I get this to go?"์˜ ์˜๋ฏธ"Can I get this to go?"๋Š” "์ด๊ฑฐ ํฌ์žฅํ•  ์ˆ˜ ์žˆ๋‚˜์š”?"๋ผ๋Š” ๋œป์œผ๋กœ, ์Œ์‹์„ ํฌ์žฅ ์ฃผ๋ฌธํ•  ๋•Œ ์ž์ฃผ ์‚ฌ์šฉ๋˜๋Š” ํ‘œํ˜„์ž„.์˜ˆ๋ฅผ ๋“ค์–ด, ํ–„๋ฒ„๊ฑฐ ๊ฐ€๊ฒŒ์—์„œ ์ฃผ๋ฌธํ•œ ์Œ์‹์„ ๋งค์žฅ์—์„œ ๋จน์ง€ ์•Š๊ณ  ๊ฐ€์ ธ๊ฐ€๊ณ  ์‹ถ๋‹ค๋ฉด "Can I get this to go?"๋ผ๊ณ  ๋งํ•˜๋ฉด ๋จ.2. ์˜ˆ๋ฌธ๊ณผ ํ•จ๊ป˜ ๋ฐฐ์šฐ๊ธฐ(1) ๊ธฐ๋ณธ์ ์ธ ํ™œ์šฉ ์˜ˆ๋ฌธCan I get this to go, please?→ ์ด๊ฑฐ ํฌ์žฅํ•  ์ˆ˜ ์žˆ๋‚˜์š”? I’d like to get this to go.→ ์ด๊ฑฐ ํฌ์žฅํ•ด ์ฃผ์„ธ์š”. Can I have my coffee ..

[Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ๋ฒˆํ˜ธ ๋ถ„์„๊ณผ ํŒจํ„ด ์ฐพ๊ธฐ(EDA)

2025.02.18 - [๊ฐœ๋ฐœ Code/์ธ๊ณต์ง€๋Šฅ A.I.] - [Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ์˜ˆ์ธก์˜ ๋ถˆ๊ฐ€๋Šฅ์„ฑ [Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ์˜ˆ์ธก์˜ ๋ถˆ๊ฐ€๋Šฅ์„ฑ1. ํ•œ๊ตญ ๋กœ๋˜ ๊ฐœ๋…๋กœ๋˜๋Š” 1๋ถ€ํ„ฐ 45๊นŒ์ง€์˜ ์ˆซ์ž ์ค‘ 6๊ฐœ๋ฅผ ์„ ํƒํ•˜๋Š” ๋ฐฉ์‹์˜ ๋ณต๊ถŒ์ด๋‹ค. ๊ตฌ๋งค์ž๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ ๋ฒˆํ˜ธ๋ฅผ ์„ ํƒํ•  ์ˆ˜ ์žˆ๋‹ค.์ž๋™ ์„ ํƒ: 45๊ฐœ์˜ ๋ฒˆํ˜ธ ์ค‘ 6๊ฐœ ๋ฒˆํ˜ธ๋ฅผ ๋ฌด์ž‘์œ„๋กœ ๋ถ€์—ฌ๋ฐ›5hr1rnp.tistory.com ๋ณธ ๊ธ€์—์„œ๋Š” ๋กœ๋˜ ๋‹น์ฒจ ๋ฐ์ดํ„ฐ์— ๋Œ€ํ•œ ํƒ์ƒ‰์  ๋ฐ์ดํ„ฐ ๋ถ„์„(EDA)์„ ์ง„ํ–‰ํ•˜๋ฉฐ, ๋‹ค์–‘ํ•œ ํ†ต๊ณ„์  ํŠน์ง•์„ ์‚ดํŽด๋ณด๊ฒ ๋‹ค.1. ๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ๋กœ๋˜ ๋ฐ์ดํ„ฐ๋Š” ๋™ํ–‰๋ณต๊ถŒ ์‚ฌ์ดํŠธ์—์„œ ์ œ๊ณตํ•˜๋Š” ์—‘์…€ ํŒŒ์ผ์„ ๊ฐ๊ฐ lotto-1.xls(1~600ํšŒ), lotto-2.xls(601~1,159ํšŒ)๋กœ ์ €์žฅํ•จ..

[Python][AI] ํ•œ๊ตญ ๋กœ๋˜ ๋ถ„์„: ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ์˜ˆ์ธก์˜ ๋ถˆ๊ฐ€๋Šฅ์„ฑ

1. ํ•œ๊ตญ ๋กœ๋˜ ๊ฐœ๋…๋กœ๋˜๋Š” 1๋ถ€ํ„ฐ 45๊นŒ์ง€์˜ ์ˆซ์ž ์ค‘ 6๊ฐœ๋ฅผ ์„ ํƒํ•˜๋Š” ๋ฐฉ์‹์˜ ๋ณต๊ถŒ์ด๋‹ค. ๊ตฌ๋งค์ž๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ฐฉ๋ฒ•์œผ๋กœ ๋ฒˆํ˜ธ๋ฅผ ์„ ํƒํ•  ์ˆ˜ ์žˆ๋‹ค.์ž๋™ ์„ ํƒ: 45๊ฐœ์˜ ๋ฒˆํ˜ธ ์ค‘ 6๊ฐœ ๋ฒˆํ˜ธ๋ฅผ ๋ฌด์ž‘์œ„๋กœ ๋ถ€์—ฌ๋ฐ›์Œ๋ฐ˜์ž๋™ ์„ ํƒ: ์›ํ•˜๋Š” ๋ฒˆํ˜ธ ์ผ๋ถ€(1~5๊ฐœ)๋ฅผ ์ง์ ‘ ์„ ํƒํ•˜๊ณ , ๋‚˜๋จธ์ง€๋Š” ๋ฌด์ž‘์œ„๋กœ ์ฑ„์›€์ˆ˜๋™ ์„ ํƒ: 6๊ฐœ ๋ฒˆํ˜ธ๋ฅผ ์ „๋ถ€ ์ง์ ‘ ์„ ํƒ์ถ”์ฒจ์€ ๋งค์ฃผ ํ† ์š”์ผ ์ €๋…์— ์ง„ํ–‰๋˜๋ฉฐ, 6๊ฐœ์˜ ๋‹น์ฒจ๋ฒˆํ˜ธ์™€ 1๊ฐœ์˜ ๋ณด๋„ˆ์Šค๋ฒˆํ˜ธ๊ฐ€ ๋ฌด์ž‘์œ„๋กœ ๊ฒฐ์ •๋œ๋‹ค. ๋ณด๋„ˆ์Šค๋ฒˆํ˜ธ๋Š” 2๋“ฑ ๋‹น์ฒจ์ž๋ฅผ ํŒ๋ณ„ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋œ๋‹ค.2. ๋‹น์ฒจ ๋“ฑ๊ธ‰๊ณผ ํ™•๋ฅ ๋กœ๋˜์˜ ๋‹น์ฒจ์€ ๋ฒˆํ˜ธ ์ผ์น˜ ๊ฐœ์ˆ˜์— ๋”ฐ๋ผ 5๊ฐœ์˜ ๋“ฑ๊ธ‰์œผ๋กœ ๋‚˜๋‰จ. ๊ฐ ๋“ฑ๊ธ‰๋ณ„ ๋‹น์ฒจ ํ™•๋ฅ ๊ณผ ๋‹น์ฒจ๊ธˆ ๋ฐฐ๋ถ„ ๊ตฌ์กฐ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Œ. ๋“ฑ์œ„๋‹น์ฒจ ์กฐ๊ฑด๋‹น์ฒจ ํ™•๋ฅ ๋‹น์ฒจ๊ธˆ ๋ฐฐ๋ถ„1๋“ฑ6๊ฐœ ๋ฒˆํ˜ธ ์ผ์น˜1 / 8,145,060์ด ๋‹น์ฒจ๊ธˆ ์ค‘ 4๋“ฑ, 5๋“ฑ ์ œ์™ธ ๊ธˆ..

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