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语音识别代码
语音识别代码
- 2020-12-05下载
- 积分:1
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Fisher分类器
说明: Fisher线性判别器实现两类数据分类。(Fisher linear discriminant implements two kinds of data classification.)
- 2020-11-26 21:40:55下载
- 积分:1
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python
文本数据预处理,包括分词,去停词,读取文件等操作(Word segmentation data preprocessing)
- 2017-09-04 16:55:17下载
- 积分:1
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手写图片识别
使用人工神经网络实现手写图片的识别。。。。。。。(Recognition of handwritten pictures based on Neural Network)
- 2018-10-03 15:37:49下载
- 积分:1
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任意多边形
说明: python 调用 cad 随机骨料模型(Python calls CAD random aggregate model)
- 2020-07-10 15:28:59下载
- 积分:1
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Word助手(项目源码下载)-Python项目开发案例集锦08.zip
Word助手(项目源码下载)-Python项目开发案例集锦08.zip
- 2019-09-22下载
- 积分:1
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tfAlexNet-master
基于tensorflow的alexnet实现,用于机器学习图片分类网络模型入门(Tensorflow based alexnet implementation for machine learning picture classification network model introduction)
- 2017-12-05 18:43:25下载
- 积分:1
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ABAQUS损伤塑性混凝土模型_inp
ABAQUS损伤塑性混凝土模型,关于在ABAQUS中进行混凝土本构关系的描述(ABAQUS Damage Plastic Concrete Model, Description of Constitutive Relation of Concrete in ABAQUS)
- 2020-10-27 21:49:58下载
- 积分:1
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实体识别(Bert-BiLSTM-CRF-pytorch版源代码)
Bert-BiLSTM-CRF-pytorch版源代码,实体识别
- 2021-10-22 00:31:09下载
- 积分:1
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KNN&SVM&KMEANS&RFE
说明: 1,載入iris 數劇集並設置提取60%的數據做為訓練集,40%數據做為測試集執行KNN 分類算法,並執行五次的交叉驗證(CV)和顯示準確率和混淆矩陣,並找出最佳K值。
2,載入iris 數劇集並設置提取60%的數據做為訓練集,40%數據做為測試集,執行支持向量機(SVM) 算法,並執行五次的交叉驗證(CV)和顯示準確率和混淆矩陣。
3,載入iris 數據集並執行KMEANS 聚類算法家數具分成五個群體,顯示準確率
4,載入iris 數據集執行線性迴歸算法,並利用特徵萃取(Feature Extraction)中的Recursive feature elimination (RFE)對iris 數據集中的特徵欄位進行重要性排序(1. Load iris series and set 60% data as training set and 40% data as test set to implement KNN classification algorithm, and perform five times of cross validation (CV) and display accuracy and confusion matrix, and find out the best K value.
2. Load iris series and set 60% data as training set and 40% data as test set, execute support vector machine (SVM) algorithm, and perform five times of cross validation (CV) and display accuracy and confusion matrix.
3. Loading iris data set and executing kmeans clustering algorithm, the number of users is divided into five groups, showing the accuracy rate
4. Load iris data set, execute linear regression algorithm, and use recursive feature elimination (RFE) in feature extraction to sort the importance of feature fields in iris dataset)
- 2020-07-04 13:35:59下载
- 积分:1