Alternatives and similar repositories for diagnosis_prediction_study

Users that are interested in diagnosis_prediction_study are comparing it to the libraries listed below

• xuman-Amy / preprocessing
  数据预处理之缺失值处理，特征选择
  ☆22Updated 6 years ago
• weepon / feature_selection
  常用的特征选择方法
  ☆67Updated 3 years ago
• aflyingpig0226 / feature-engineering
  机器学习的特征工程，包括特征抽取、特征预处理、特征选择、特征降维。
  ☆25Updated 6 years ago
• xiaobh2010 / linearregression-lasso-ridge-elasticnet
  基于波士顿房屋租赁价格数据，使用lasso回归算法做特征选择后，分别使用线性回归、Lasso回归、Ridge回归、Elasitic Net四类回归算法构建模型（分别测试1,2,3阶）
  ☆13Updated 6 years ago
• wikke / TimeSeriesPrediction
  Time Series Prediction, Stateful LSTM; 时间序列预测，洗发水销量/股票走势预测，有状态循环神经网络
  ☆58Updated 8 years ago
• Lintianqianjin / Sales-forecast-LSTM
  使用LSTM预测商品销量，考虑销量激增点影响
  ☆35Updated 6 years ago
• luanshiyinyang / Stacking
  机器学习集成模型之Stacking各类模型及工具源码
  ☆118Updated 5 years ago
• SimonWang00 / salesPredict
  基于ARIMA时间序列的销量预测模型，实际预测准确率达90%以上，内含有测试记录和实际上线效果。
  ☆106Updated 6 years ago
• ypylj / Multi-Class-Classification
  使用支持向量机，感知机，随机森林，决策树，k近邻，logistic，LSTM，bagging，boosting，集成等多种常见算法实现多分类任务（三分类）。Support vector machine, perceptron, random forest, decision…
  ☆18Updated 5 years ago
• epishova / Neural-Networks-for-time-series-analysis
  Compare how ANNs, RNNs, LSTMs, and LSTMs with attention perform on time-series analysis
  ☆42Updated 7 years ago
• nanguoyu / StudentGradeRegression
  [大数据课程作业]分别采用神经网络、线性回归、SVM方法预测学生成绩
  ☆46Updated 6 years ago
• zhangbincheng1997 / detect-lstm-model
  detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)
  ☆60Updated 6 years ago
• Oscaria / stock-prediction
  stock trend prediction using multi-source data
  ☆12Updated 4 years ago
• mo2ye / SARIMA-LSTM
  建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例，使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据，将数据按时间段划分，使用SARIMA过滤其线性趋势，再对过滤后的残差使用LSTM进行预测，最后对预测结果进行…
  ☆84Updated 6 years ago
• ThinkingXuan / loan-risk-prediction
  💖基于机器学习的贷中风险预测模型--江苏银行“随e融”杯--二等奖💖
  ☆23Updated 3 years ago
• ShaoQiBNU / stacking
  集成学习Stacking方法详解
  ☆77Updated 6 years ago
• rogeroyer / feature_selection_GAAlgorithm
  基于遗传算法的特征选择
  ☆128Updated 5 years ago
• huang027 / ARIMA
  时间序列ARIMA模型的销量预测
  ☆64Updated 7 years ago
• LeronQ / DA-RNN
  ☆42Updated 5 years ago
• yuchengle / Arima
  利用时间序列预测汽车销量
  ☆43Updated 6 years ago
• Jun-Yang-1007 / CNN-LSTM-attention
  CNN-LSTM-attention
  ☆10Updated 4 years ago
• tjaume / BPNeuralNetworks
  利用Python实现三层BP神经网络
  ☆83Updated 7 years ago
• jijirazi / ML_CHL_prediction
  基于Keras框架，结合LSTM/GRU/Arima/WNN实现多方式的水质参数预测
  ☆23Updated 7 years ago
• shashwattrivedi / Simple-TransformerEncoder-keras
  A simple implementation of Transformer Encoder in keras. This repository also includes an example of Transformer as a classifier and its …
  ☆16Updated 6 years ago
• zhulei227 / Stacking_Ensembles
  Stacking classification and regression
  ☆25Updated 6 years ago
• radicali94 / TimeSeries-Regression
  Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
  ☆23Updated 6 years ago
• yhaofeng / finance_transformer
  通过修改transformer使其可以预测金融时间序列
  ☆37Updated 4 years ago
• yezhichen2 / cnn_lstm
  基于Keras的LSTM多变量时间序列预测
  ☆26Updated 7 years ago
• SuperTorch / SupplyChain
  智能供应链分析，对顾客用rfm模型分类，用多种机器学习模型建模，进行欺诈订单预测，延迟发货预测，销售额预测，销售数量预测
  ☆37Updated 5 years ago
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆77Updated 8 months ago