ML-Basic

머신러닝 기초 내용 정리입니다. 이론 설명 + 코드 내용.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
BreamAndSmelt.ipynb		BreamAndSmelt.ipynb
Ch_9_비지도_학습_클러스터_ipynb의_사본.ipynb		Ch_9_비지도_학습_클러스터_ipynb의_사본.ipynb
Data_preprocessing.pdf		Data_preprocessing.pdf
ML_01._intro_.pdf		ML_01._intro_.pdf
ML_01_2._code_전반적인_코드_진행.pdf		ML_01_2._code_전반적인_코드_진행.pdf
ML_02._회귀_모델.pdf		ML_02._회귀_모델.pdf
ML_03._분류.pdf		ML_03._분류.pdf
ML_04._최적화와_경사하강법.pdf		ML_04._최적화와_경사하강법.pdf
ML_05._regularization_-_규제.pdf		ML_05._regularization_-_규제.pdf
ML_06_1._트리_알고리즘.pdf		ML_06_1._트리_알고리즘.pdf
ML_06_2._앙상블과_부스팅.pdf		ML_06_2._앙상블과_부스팅.pdf
ML_07_1._clustering.pdf		ML_07_1._clustering.pdf
ML_07_2._차원_축소.pdf		ML_07_2._차원_축소.pdf
Normalization_Data Preparation and Feature Engineering for Machine Learning _ Google Developers.pdf		Normalization_Data Preparation and Feature Engineering for Machine Learning _ Google Developers.pdf
README.md		README.md
혼공머신 6장 발표자료.pptx		혼공머신 6장 발표자료.pptx

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