WangXiaoMingo / machine-learningLinks
常见机器学习算法回归、分类应用示例,调参;包括基础的线性回归算法、集成学习、支持向量机等;调参包括网格搜索、随机搜索、贝叶斯优化、优化算法如GA优化等。
☆21Updated 2 years ago
Alternatives and similar repositories for machine-learning
Users that are interested in machine-learning are comparing it to the libraries listed below
Sorting:
- 机器学习集成模型之Stacking各类模型及工具源码☆118Updated 4 years ago
- 集成学习Stacking方法详解☆76Updated 5 years ago
- 机器学习预测模型,分别用逻辑回归,决策树,随机森林,神经网络,XGBOOST和支持向量机算法建模,交叉验证,并选出AUC最优的模型。特征工程优化后,AUC值达到0.8259☆56Updated 5 years ago
- feature selections and extractions☆88Updated last year
- LSTM神经网络预测沪深300指数及其涨跌☆41Updated 5 years ago
- python实现的随机森林☆101Updated 3 years ago
- 类别不平衡学习,包括采样、代价敏感学习、决策输出补偿以及集成学习等内容☆37Updated 4 years ago
- 麻雀算法优化支持向量机 python实现☆13Updated 3 years ago
- Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测,注释拉满。☆193Updated 5 years ago
- XGB、LSTM、KNNR、SVR预测☆13Updated 8 months ago
- 数据特征工程、各种机器学习回归模型、回归数据预处理☆44Updated 5 years ago
- 使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…☆53Updated 5 years ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆22Updated 4 years ago
- GBDT for regression☆10Updated 6 years ago
- 常用的特征选择方法☆68Updated 3 years ago
- 利用Python实现三层BP神经网络☆82Updated 7 years ago
- 包括决策树和随机森林进行离职人员预测,Xgboost和lightGBM的应用☆286Updated 5 years ago
- 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
- 《应用时间序列分析》易丹辉、王燕著; 案例Python实现☆16Updated 5 years ago
- LR / SVM / XGBoost / RandomForest etc.☆28Updated 5 years ago
- 基于遗传算法的特征选择☆128Updated 5 years ago
- Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.☆23Updated 5 years ago
- 机器学习预测系统汇总:包括贝叶斯网络、马尔科夫模型、线性回归、岭回归、多项式回归、决策树回归、深度神经网络预测☆79Updated 5 years ago
- 使用pytorch搭建的循环神经网络在股票数据时间序列上的应用☆108Updated 7 years ago
- Codes for time series forecast☆145Updated 4 years ago
- 近红外光谱波长筛选算法☆24Updated 5 years ago
- 基于粒子群算法的神经网络优化股票价格预测☆32Updated 5 years ago
- 利用sklearn实现机器学习算法:线性回归、逻辑回归、决策树、随机森林、SVM等☆178Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆77Updated 6 months ago
- 基于KNN聚类算法结合Dynamic Time Warping(动态时间调整)的时间序列分类☆62Updated 6 years ago