Pinned Repositories
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
atec2018_AntiFraudRecognition
CNN_from_scratch
从零开始无框架python实现卷积神经网络
dnn_house_price_prediction_scratch
build a deep neural network from scratch for boston house price prediction
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
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
hellobilllee's Repositories
hellobilllee/ActiveUserPrediction
predict app users that will be active in some period of time given log information of the users
hellobilllee/lstm_stock_price_prediction
LSTM神经网络预测沪深300指数及其涨跌
hellobilllee/dnn_house_price_prediction_scratch
build a deep neural network from scratch for boston house price prediction
hellobilllee/CNN_from_scratch
从零开始无框架python实现卷积神经网络
hellobilllee/lstm_next_sequence_prediction
implement recurrent neural network and long short-term memory network from scratch without frameworks
hellobilllee/Stacking
this is a stacking classifier with built-in parameter-tuning and feature selection featues
hellobilllee/2018-KUAISHOU-TSINGHUA-Top13-Solutions
2018**高校计算机大赛--大数据挑战赛 Top 13-Solutions
hellobilllee/atec2018_AntiFraudRecognition
hellobilllee/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.
hellobilllee/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）
hellobilllee/angular.js
HTML enhanced for web apps
hellobilllee/BDC_2018
Preliminary rank_13
hellobilllee/bmwWarrantyFraudDetect
using machine learning techniques to detect fradulent auto service and warranty applyment
hellobilllee/Competition
参加过的比赛记录，包括代码和经验和其他文件
hellobilllee/FreeCodeCamp
The https://FreeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.
hellobilllee/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
hellobilllee/papers
papers of all kinds, mainly in deep learning
hellobilllee/RNN-Active-User-Forecast
1st place solution for the Kuaishou Active-user Forecast competition
hellobilllee/Tencent2018_Lookalike_Rank7th
The code for 2018 Tencent College Algorithm Contest, and the online result ranks 7th.
hellobilllee/text-cnn
嵌入Word2vec词向量的CNN中文文本分类
hellobilllee/textcnn_doc_quality_prediction
text cnn for doc quality prediction