Pinned Repositories
Data-Science-Notes
数据科学的笔记以及资料搜集
deep-learning
personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN
fast_retraining
Show how to perform fast retraining with LightGBM in different business cases
hyperopt-doc-zh
Github开源项目hyperopt系列的中文文档,以及学习教程等
Kaggle_Competition_Treasure
Describe past Kaggle solutions
learning-nlp
nlp in action
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
zhangting777's Repositories
zhangting777/Data-Science-Notes
数据科学的笔记以及资料搜集
zhangting777/deep-learning
personal practice（个人练习，实现了深度学习中的一些算法，包括：四种初始化方法（zero initialize, random initialize, xavier initialize, he initialize），深度神经网络，正则化，dropout， 三种梯度下降方法(BGD, SGD, mini-batch)，六种优化算法(momentum、nesterov momentum、Adagrad、Adadelta、RMSprop、Adam)，梯度检验、batch normalization）、RNN
zhangting777/fast_retraining
Show how to perform fast retraining with LightGBM in different business cases
zhangting777/hyperopt-doc-zh
Github开源项目hyperopt系列的中文文档,以及学习教程等
zhangting777/Kaggle_Competition_Treasure
Describe past Kaggle solutions
zhangting777/learning-nlp
nlp in action
zhangting777/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
zhangting777/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing