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 th…
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Use L1, L2 and elasticNet Regression to counter overfitting.
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``` python
from sklearn.datasets import make_regression
from sklearn.cross_validation import cross_val_score, LeaveOneOut
from sklearn.linear_model import Ridge
X, y, coef_ = make_regression(random_s…
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# [SSUDA] 주택 가격 예측 | 나의 빅데이터 공부 기록
다양한 머신러닝/딥러닝 코드들이 기록되어 있습니다.
[https://ksy1526.github.io//myblog/ssuda/jupyter/kaggle/ridge/lasso/regression/2021/09/15/kagglessu1.html](https://ksy1526.github.io//…
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Thread for feedback about the Ridge Regression chapter
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In terms of functionality, the mid-term end goal is to achieve an offering of ML algorithms and pre-processing routines comparable to what is currently available in Python's [`scikit-learn`](https://s…
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Set up classifier(s)
Try different ones - RF, Ridge Regression, GBM, etc