- 1d/2d-array with pointer
- show address in 2d-array
- malloc and realloc
- linked list - make single node
- linked list - make multi node
- binary search tree - malloc and free
- size_t in C
- unsigned char in C
- void pointer in C
- Normalization vs Standardization
- Remove Outlier (Functionalization)
- upsampling (match the number of 'y - 0,1' in classification model)
- LabelEncoder vs OneHotEncoder vs LabelBinarizer
- K-Nearest Neighbor Algorithm
- Random Forest Classifier
- Gradient Boosting Classifier
- Hyper-Parameter Tuning, GridSearchCV(from sklearn.model_selection)
- [GridSearchCV(n_jobs=estimator=Model(), param_grid=param_grid, ... , multiprocessing.cpu_count())]
- [make_pipeline(from sklearn.pipeline)]
- XGBoost(Regression/Classification)
- lightgbm(Regression/Classification)
- basic k-means clustering
- basic linear regression
- [data 'class_mode' and Model Compile 'loss']
- [Conv2D(.. padding='same')]
- [Conv2D and BatchNormalization]
- Multiple Object Detection with 2 Step(R-CNN/SPP-Net/Fast R-CNN/Faster R-CNN)
- GAN - Basic Concept
- StarGAN - Basic Concept
- StarGAN v2 - Basic Concept
- [Paper] StarGAN v2: Diverse Image Synthesis for Multiple Domains - Yunjey Choi, Youngjung Uh, Jaejun Yoo, Jung-Woo Ha
- [CGAN - Conditional GAN]
- pix2pix model : CycleGAN vs StarGAN
- GAN : Unpaired Image to Image Translation
- keras basic(CNN)
- Representation learning
- type of classification and activation function
- Explain classification_report(from sklearn.metrics) with examples
- confusion_matrix(from sklearn.metrics)
- Feature Importance vs Permutation Feature Importance
- Precision and Recall in an Anomaly Detection Situation
- ROC Curve +metrics.plot_roc_curve(model, X_test, y_test)
- R Square
- df.corr() | correlation coefficient - pearson, spearman, kendall tau
- scipy.stats.kstest() | Kolmogorov-Smirnov Test
- (statsmodels.api)OLS.from_formula('y ~ x1+x2+x3..', data=df)
- 범주형/연속형 변수 조합에 따른 가설 검정 방법
- ARIMA
- 중심극한정리 샘플링테스트
- *Tutorial : (1) Getting Started | Rachael Tatman | Kaggle
- *Tutorial : (2) Load Data | Rachael Tatman | Kaggle
- *Tutorial : (3) Summarize Data | Rachael Tatman | Kaggle
- *Tutorial : (4) Graphing Data | Rachael Tatman | Kaggle
- *Tutorial : Introduction to machine learning in R | Cam Nugent | Kaggle
- INNER JOIN vs OUTER JOIN
- *프로그래머스 | GROUP BY | 동명 동물 수 찾기
- *프로그래머스 | GROUP BY | 입양 시각 구하기(1)
- *프로그래머스 | GROUP BY | 입양 시각 구하기(2)
- *프로그래머스 | IS NULL | NULL 처리하기
- *프로그래머스 | JOIN | 없어진 기록 찾기
- *프로그래머스 | JOIN | 있었는데요 없었습니다
- INNER JOIN 2 Table / FROM 2 Table
- *프로그래머스 | JOIN | 오랜 기간 보호한 동물(1)
- *프로그래머스 | JOIN | 보호소에서 중성화한 동물
- *프로그래머스 | String, Date | 이름에 el이 들어가는 동물 찾기
- *프로그래머스 | String, Date | 중성화 여부 파악하기
- *프로그래머스 | Summer/Winter Coding(2019) | 우유와 요거트가 담긴 장바구니
- *프로그래머스 | 2021 Dev-Matching: 웹 백엔드 개발자(상반기) | 헤비 유저가 소유한 장소
- *LeetCode | 181. Employees Earning More Than Their Managers
- *LeetCode | 626. Exchange Seats
- touch vs mkdir (+git status)
- branch, checkout
- [git fetch --all & git reset --hard origin/main (overwrite local branch with remote Repository)]