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numpy 拼接两列

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-decisiontree

ID3算法构建决策树

-txt

读取一个文件夹里所有txt文件

activityrecognition

Resources about activity recognition-行为识别资料

ailearning

ali_mobile

天池比赛，新手离线赛，阿里移动推荐

allstate

Kaggle's Allstate Purchase Prediction Challenge

bert

TensorFlow code and pre-trained models for BERT

bert-toxicity-classification

bert on Jigsaw Unintended Bias in Toxicity Classification

bert4keras

keras implement of transformers for humans

book_for_chatbot

Sample programs and data for the book for chatbot

ccf_2020_qa_match

ccf 2020 qa match competition top1

codinginterviewchinese2

《剑指Offer》第二版源代码

competition-baseline

数据科学竞赛知识、代码、思路

concat

concatdata

dataframe-

如何给DataFrame的列命名或重命名

decision-tree

基于kaggle上Titanic数据集实现的ID3、C4.5、CART和CART剪枝算法

decision_tree

Simple implementation of CART algorithm

decision_tree_prune

Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning,all are implemented with Python(sklearn-decision-tree-prune included,All finished).

decisiontree

Implementation of decision Tree with C+ +

decisiontree-1

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

exercise

exercise for nndl

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

federated

A framework for implementing federated learning

find-index-num-of-items

数组找出元素个数，索引

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

incremental_decision_tree-cart-random_forest_python

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest