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This wiki is primarily in Korean and intended for Korean users. Some documents are available in English. If you search in English and are redirected to a Korean page, it means that the document is only available in Korean. However, users from English-speaking countries are also welcome to contribute freely to this wiki. | This wiki is primarily in Korean and intended for Korean users. Some documents are available in English. If you search in English and are redirected to a Korean page, it means that the document is only available in Korean. However, users from English-speaking countries are also welcome to contribute freely to this wiki. | ||
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category = Data Science | |||
count = 30 | |||
order = decending | |||
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Revision as of 12:01, 4 November 2024
This wiki is primarily in Korean and intended for Korean users. Some documents are available in English. If you search in English and are redirected to a Korean page, it means that the document is only available in Korean. However, users from English-speaking countries are also welcome to contribute freely to this wiki.
- Missing Data
- Normalization (Data Science)
- Bias-Variance Trade-Off
- N-Fold Cross-Validation
- Undersampling
- Oversampling
- Stratified Sampling
- Feature Selection
- Information Gain
- Impurity (Data Science)
- Clustering Algorithm
- Similarity (Data Science)
- Cross-Validation
- Underfitting
- Overfitting
- Unsupervised Learning
- Supervised Learning
- First Principles Algorithm
- Learner (Data Science)
- Rows (Data Science)
- Feature (Data Science)
- Cold Start Problem
- Content-Based Filtering
- Collaborative Filtering
- Recommender System
- Precision-Recall Curve
- Cumulative Response Curve
- Gain Chart
- Lift Curve
- Gain (Data Science)