NumPy, Pandas ์จ๋ผ์ธ ๊ฐ์ข ์ด์ํ๊ธฐ
[๊ณผ์ ]
๊ฒฐ์ธก์น ์ฒ๋ฆฌ ๊ธฐ์ด ์ค์ต
[๊ฐ์&์ค์ต]
#4_Handling_Missing_Data.pdf
3_handling_missing_data.html
AirQualityUCI_refined.csv
k-NN (k-Nearest Neighbors)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
MICE (Multiple Imputation by Chained Equations)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
์ด์์น ์ฒ๋ฆฌ ๊ธฐ์ด ์ค์ต
[๊ฐ์&์ค์ต]
5_outlier_detection_inst.ipynb
AirQualityUCI_refined.csv
๋ ๋ฒ๋ฆฌ์ง์ ์์๋ผ์ด์ด
(๋ฐ์ดํฐ์ฌ์ด์ธ์ค์ค์ฟจ)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
์ฐธ๊ณ ๋ฌธํ(๋ฐ์ดํฐ์ฌ์ด์ธ์ค์ค์ฟจ).html
์ฌ์ด๋ ํ๋ก์ธ์ฑ ๊ธฐ์ด
(๋ฐ์ดํฐ์ฌ์ด์ธ์ค์ค์ฟจ)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
ํธ๋ฆฌ์ ๋ณํ๊ณผ ์คํํธ๋ผ
(๋ฐ์ดํฐ์ฌ์ด์ธ์ค์ค์ฟจ)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
ํน์ง ๊ณตํ ๊ธฐ์ด ์ค์ต
[๊ฐ์&์ค์ต]
NLTK ์์ฐ์ด ์ฒ๋ฆฌ ํจํค์ง
(๋ฐ์ดํฐ์ฌ์ด์ธ์ค์ค์ฟจ)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
KoNLPy ์์ฐ์ด ์ฒ๋ฆฌ ํจํค์ง
(๋ฐ์ดํฐ์ฌ์ด์ธ์ค์ค์ฟจ)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
๋น๋์นญ ๋ฐ์ดํฐ ๋ฌธ์
(๋ฐ์ดํฐ์ฌ์ด์ธ์ค์ค์ฟจ)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
Positive/Negative ์ฌ๋ก ์๊ฐ ๋น๋์นญ์ ์ผ ๋ ์ฌ์ฉํ๋ ๊ธฐ๋ฒ๋ค
t-SNE (t-distributed Stochastic Neighbor Embedding)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
PCA๋ฅผ ๋์ฒดํ๋ ์ฐจ์์ถ์ ๋ฐ ์๊ฐํ ๊ธฐ๋ฒ
StatQuest: t-SNE, Clearly Explained
https://www.datacamp.com/tutorial/introduction-t-sne
Active Learning
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
๋ ์ด๋ธ๋ง ์๋ํ ๊ธฐ์
https://towardsdatascience.com/active-learning-5b9d0955292d
DCGAN Tutorial
(PyTorch)
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
DCGAN์ ์ด์ฉํ ๋ฐ์ดํฐ ์ฆ๊ฐ
https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html#dcgan-tutorial
EEG-Based Brain-Computer Interfaces Using Motor-Imagery: Techniques and Challenges, Sensors, 2019.
[๋
ผ๋ฌธ ์ธ๋ฏธ๋] ๋์ ์์ ๊ธฐ๋ฐ์ Brain-Computer Interface๋ฅผ ์ํ EEG ๋ํ ์ ํธ ์ฒ๋ฆฌ ๋ฐฉ๋ฒ๋ค์ ์ ์
Topological Data Analysis
[์ธ๋ฏธ๋&๋ฐ๋ชจ]
๋ฐ์ดํฐ์ ๊ตฌ์กฐ๋ฅผ ์์์ํ ๊ด์ ์์ ๋ถ์ํ๋ ๋ฐฉ๋ฒ
https://dacon.io/en/codeshare/3733
https://github.com/postech-minds/postech-minds/blob/main/tutorials/%5BGTDA_TUTO%5D01-Introduction_to_TDA.ipynb
Model Drift (Change Point Detection)
๋ค์ค๊ณต์ ์ฑ๊ณผ ๋ณ์ ์ ํ