Channel Avatar

κ°•μ„œλŒ€ν•™κ΅ λΉ…λ°μ΄ν„°κ²½μ˜ν•™κ³Ό 이상철 ꡐ수 @UCgJL39Q2O5UTY0B5na1kxHA@youtube.com

20K subscribers - no pronouns :c

## 채널 μ„€λͺ… ## -. 본채널은 κ°•μ„œλŒ€ν•™κ΅ λΉ…λ°μ΄ν„°κ²½μ˜ν•™κ³Ό 이상철 ꡐ수의 μˆ˜μ—…μžλ£Œμ‹€μž…λ‹ˆλ‹€. -. λ³Έ

Videos Posts Playlists
Recently Uploaded Popular Oldest
06:07
16_2.Chi-square test(독립성)(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
15:28
16_1.Chi-square test(독립성)(R with tidymodel)
07:51
15_2.Chi-square test(λ™μ§ˆμ„±)(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
20:41
15_1.Chi-square test(λ™μ§ˆμ„±)(R with tidymodel)
08:12
14_2.Logistic Regression(λΆ„λ₯˜)(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
15:41
14_1.Logistic Regression(λΆ„λ₯˜)(R with tidymodel)
06:51
13_2.Regression(μ„€λͺ…)(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
13:28
13_1.Regression(μ„€λͺ…)(R with tidymodel)
08:16
12_2.Regression)(예츑)(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
27:19
12_1.Regression)(예츑)(R with tidymodel)(2_2)
24:34
12_1.Regression)(예츑)(R with tidymodel)(1_2)
04:56
11_2.Correlation(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
12:10
11_1.Correlation(R with tidymodel)
10:29
10_2.Two-Way Mixed ANOVA(μ—°μŠ΅λ¬Έμ œ)
20:30
10_1.Two-Way Mixed ANOVA
08:16
09_2.Two-Way ANOVA(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
33:08
09_1.Two-Way ANOVA(R with tidymodel)
07:27
08_2.Repeated Measures ANOVA(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
20:08
08_1.Repeated Measures ANOVA(R with tidymodel)
23:36
07_2.One-Way ANOVA(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
31:16
07_1.One-Way ANOVA(R with tidymodel)(2_2)
31:44
07_1.One-Way ANOVA(R with tidymodel)(1_2)
12:04
06_2.Paired Sample t-test(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
29:13
06_1.Paired Sample t-test(R with tidymodel)
13:48
05_2.Independent Sample t-test(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
34:51
05_1.Independent Sample t-test(R with tidymodel)(2_2)
20:03
05_1.Independent Sample t-test(R with tidymodel)(1_2)
19:24
04_2.one-sample t-test(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
31:45
04_1.one-sample t-test(R with tidymodel)(κ·Έλž˜ν”„ 그리기)(3_3)
34:54
04_1.one-sample t-test(R with tidymodel)(2_3)
30:19
04_1.one-sample t-test(R with tidymodel)(1_3)
11:36
03_5.R ν™•λ₯ λΆ„포(μ—°μŠ΅λ¬Έμ œ)
15:01
03_4.R ν™•λ₯ λΆ„포(μ •κ·œλΆ„ν¬)(R with tidymodel)
19:57
03_3.R ν™•λ₯ λΆ„포(μ§€μˆ˜λΆ„ν¬)(R with tidymodel)
11:59
03_2.R ν™•λ₯ λΆ„포(포아솑뢄포)(R with tidymodel)
35:00
03_1.R ν™•λ₯ λΆ„포(이항뢄포)(R with tidymodel)
15:35
02_2.κΈ°μˆ ν†΅κ³„λΆ„μ„(μˆ˜μΉ˜ν˜•)(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
20:40
02_1.R κΈ°μˆ ν†΅κ³„λΆ„μ„(μˆ˜μΉ˜ν˜•)(R with tidymodel)(2_2)
30:19
02_1.R κΈ°μˆ ν†΅κ³„λΆ„μ„(μˆ˜μΉ˜ν˜•)(R with tidymodel)(1_2)
11:45
01_3.R κΈ°μˆ ν†΅κ³„λΆ„μ„(λ²”μ£Όν˜•)(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
25:59
01_2.R κΈ°μˆ ν†΅κ³„λΆ„μ„(λ²”μ£Όν˜•)(R with tidymodel)
35:10
01_1.R κΈ°μˆ ν†΅κ³„λΆ„μ„(κ·Έλž˜ν”„κ·Έλ¦¬κΈ°)(R with tidymodel)
14:44
00_4.R 데이터 처리(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
23:52
00_3.R 데이터 처리(R with tidymodel)(2_2)
21:46
00_3.R 데이터 처리(R with tidymodel)(1_2)
08:15
00_2.R κΈ°μ΄ˆμ‚¬μš©λ²•(R with tidymodel)(μ—°μŠ΅λ¬Έμ œ)
29:15
00_1.R κΈ°μ΄ˆμ‚¬μš©λ²•(R with tidymodel)(3_3)
28:39
00_1.R κΈ°μ΄ˆμ‚¬μš©λ²•(R with tidymodel)(2_3)
31:46
00_1.R κΈ°μ΄ˆμ‚¬μš©λ²•(R with tidymodel)(1_3)
32:26
00_1.ν”„λ‘œκ·Έλž˜λ°(μ½”λ”©)μ΄λž€
28:31
00_0.RStudioμ„€μΉ˜ 및 ν™˜κ²½μ„€μ •
31:00
00_0.데이터뢄석도ꡬ(Rκ³Ό Python 비ꡐ)
32:23
10_3.Association Rule(R μ‹€μŠ΅)
38:38
10_02.K-Means Clustering3(R μ‹€μŠ΅)
22:25
10_01.Principal Component Analysis(λΆ„λ₯˜)(R μ‹€μŠ΅)
46:01
Ch12_2.빅데이터와 κΈ°κ³„ν•™μŠ΅(λ”₯λŸ¬λ‹, 합성곱신경망, GPT)
42:20
Ch12_1.빅데이터와 κΈ°κ³„ν•™μŠ΅(λΉ„μ§€λ„ν•™μŠ΅)(ꡰ집뢄석, 연관뢄석, ν…μŠ€νŠΈλ§ˆμ΄λ‹, κ°•ν™”ν•™μŠ΅)
24:33
09_02.Model Comparison(λΆ„λ₯˜)(R μ‹€μŠ΅)
34:53
09_01.Model Comparison(예츑)(R μ‹€μŠ΅ 2_2)
32:00
09_01.Model Comparison(예츑)(R μ‹€μŠ΅ 1_2)
Next Page