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Random-Forest---GBDT-on-Decision-Trees
Random-Forest---GBDT-on-Decision-Trees PublicForked from skshiraj/Random-Forest---GBDT-on-Decision-Trees
Applying RF and GBDT on DonorsChoose Dataset
Jupyter Notebook 1
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Naive-Bayes-on-DonorsChoose-Dataset
Naive-Bayes-on-DonorsChoose-Dataset PublicForked from skshiraj/Naive-Bayes-on-DonorsChoose-Dataset
Applying Naive Bayes on Donors Choose
Jupyter Notebook 1
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ML-From-Scratch
ML-From-Scratch PublicForked from skshiraj/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Python 1
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Implement-SGD-Classifier-with-Logloss-and-L2-regularization-Using-SGD-without-using-sklearn
Implement-SGD-Classifier-with-Logloss-and-L2-regularization-Using-SGD-without-using-sklearn PublicForked from skshiraj/Implement-SGD-Classifier-with-Logloss-and-L2-regularization-Using-SGD-without-using-sklearn
Implement SGD Classifier with Logloss and L2 regularization Using SGD without using sklearn
Jupyter Notebook 1
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