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2018-kuaishou-tsinghua-top13-solutions

2018**高校计算机大赛--大数据挑战赛 Top 13-Solutions

2018-kuaishou-tsinghua-top28-solutions-

**高校计算机大赛-大数据挑战赛（复赛28，初赛A:1，初赛B:2）

activeuserprediction

predict app users that will be active in some period of time given log information of the users

angular.js

HTML enhanced for web apps

atec2018_antifraudrecognition

bdc_2018

Preliminary rank_13

bmwwarrantyfrauddetect

using machine learning techniques to detect fradulent auto service and warranty applyment

cnn_from_scratch

从零开始无框架python实现卷积神经网络

competition

参加过的比赛记录，包括代码和经验和其他文件

dnn_house_price_prediction_scratch

build a deep neural network from scratch for boston house price prediction

freecodecamp

The https://FreeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.

ijcai-18-top2-single-mole-solution

复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征

lstm_next_sequence_prediction

implement recurrent neural network and long short-term memory network from scratch without frameworks

lstm_stock_price_prediction

LSTM神经网络预测沪深300指数及其涨跌

papers

papers of all kinds, mainly in deep learning

rnn-active-user-forecast

1st place solution for the Kuaishou Active-user Forecast competition

santanderproductrecommendation

In this competition, you are provided with 1.5 years of customers behavior data from Santander bank to predict what new products customers will purchase. The data starts at 2015-01-28 and has monthly records of products a customer has, such as “credit card”, “savings account”, etc. You will predict what additional products a customer will get in the last month, 2016-06-28, in addition to what they already have at 2016-05-28. These products are the columns named: ind_(xyz)_ult1, which are the columns #25 – #48 in the training data. You will predict what a customer will buy in addition to what they already had at 2016-05-28. So we have to select which among the 24 products a user will buy in the 2016-06-28 with respect to what he already has in the previous month.

stacking

this is a stacking classifier with built-in parameter-tuning and feature selection featues

tencent2018_lookalike_rank7th

The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.

text-cnn

嵌入Word2vec词向量的CNN中文文本分类

textcnn_doc_quality_prediction

text cnn for doc quality prediction