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1. Random-Forest---GBDT-on-Decision-Trees Random-Forest---GBDT-on-Decision-Trees Public

   Forked from skshiraj/Random-Forest---GBDT-on-Decision-Trees

   Applying RF and GBDT on DonorsChoose Dataset

   Jupyter Notebook 1

2. Naive-Bayes-on-DonorsChoose-Dataset Naive-Bayes-on-DonorsChoose-Dataset Public

   Forked from skshiraj/Naive-Bayes-on-DonorsChoose-Dataset

   Applying Naive Bayes on Donors Choose

   Jupyter Notebook 1

3. 100Days_Of_ML_Code 100Days_Of_ML_Code Public

   Forked from skshiraj/100Days_Of_ML_Code

   ML models

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4. ML-From-Scratch ML-From-Scratch Public

   Forked 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.

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5. 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 Public

   Forked 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

6. papers papers Public

   Forked from skshiraj/papers

   Summaries of machine learning papers

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