基于波形的环境声音深度学习音频分类
Waveform based Audio Classification of Environmental Sounds Using Deep Learning (2024-03-26, Jupyter Notebook, 0KB, 下载0次)
该数据集表示电机测试，每个列都是一个特定的参数。这是一个时间序列数据，其中电机在末端发生故障。在这种情况下，数据集被规范化，变量的名称是数字。该分析的目标是试图找到一种在故障发生之前检测异常行为的方法。
This data set represents a motor test and each column is a particular parameter. It is a time series data, where at the end the motor has a failure. In this case, the data set is normalized and the variables s names are numbers. The goal of this analysis is to try to find a way to detect abnormal behavior before failure occurs. (2024-02-25, Jupyter Notebook, 0KB, 下载0次)
使用Logistic回归算法以及归一化、调整和交叉验证来预测碰撞发生时驾驶员是否有故障。
Predicting whether the driver at fault when the crash occurred using Logistic Regression algorithm along with normalization, tuning and cross validation. (2024-02-13, Jupyter Notebook, 0KB, 下载0次)
k-NN在波形数据集中的性能分析
Performance analysis of k-NN applied to Waveforms dataset (2024-01-20, Jupyter Notebook, 0KB, 下载0次)
总之，该分析提供了对数据集的见解，解决了不平衡目标发生率，探索了统计特征，并采用了自动和手动模型选择技术。决策树模型显示了合理的准确性和可解释性，有助于理解献血模式。
In summary, the analysis provided insights into the dataset, addressed imbalanced target incidence, explored statistical characteristics, and employed automated and manual model selection techniques. The Decision Tree model demonstrated reasonable accuracy and interpretability, contributing to the understanding of blood donation patterns. (2023-12-23, Jupyter Notebook, 0KB, 下载0次)
这项工作分析了中风发生数据集上两种神经网络架构的复杂性。一种前馈多层预测模型...
This work analyses the intricacies of two neural network architectures over the stroke occurrences dataset. A Feedforward Multi-Layer Perceptron (MLP) and Support Vector Machines (SVM) are the two algorithms being reviewed. (2023-12-15, Jupyter Notebook, 0KB, 下载0次)
KNN分类器，，
KNNClassifier,, (2023-10-14, Jupyter Notebook, 0KB, 下载0次)
使用仅编码器transformer的毒性评论分类，
Toxic Comment Classification using Encoder-Only-Transformer, (2023-10-06, Jupyter Notebook, 0KB, 下载0次)
该报告用于PCA、SVM分类器、决策树分类器、DNN分类器、，
This repo is for PCA, SVM classifier, Decision Tree classifier, DNN classifier, (2023-09-15, Jupyter Notebook, 0KB, 下载0次)
使用KNN预测泰坦尼克号事件发生时是否有人活着，
predict whether someone was alive or not at the time the titanic incident occurred using KNN, (2023-08-27, Jupyter Notebook, 0KB, 下载0次)
决策树分类器和决策树回归器，
Decision Tree Classifier and Decision Tree Regressor, (2023-08-07, Jupyter Notebook, 0KB, 下载0次)
利用k-NN算法实现了分类，并通过交叉验证来预测火灾是否会发生...
Achieved classification using k-NN algorithm and cross-validation to predict whether or not a fire will occur based on the data. Futher, using linear regression predicted the actual amount of burnt area. (2019-03-09, Jupyter Notebook, 43KB, 下载0次)
使用朴素贝叶斯分类器的简单情感分析器。
Simple Sentiment Analyser using Naive Bayes Classifier. (2020-07-22, Jupyter Notebook, 1385KB, 下载0次)
疾病预测项目旨在开发一种预测模型，可以准确地预测疾病发生的可能性...
The Disease Prediction project aims to develop a predictive model that can accurately predict the likelihood of a patient having a certain disease based on their symptoms. The project will utilize the Random Forest algorithm to analyze the various symptoms provided by the patient and make a prediction. (2023-05-21, Jupyter Notebook, 221KB, 下载0次)
决策树在分类方面很好，分类发生在决策树的每个节点上。这里我有用...
Decision tree are very good in classification ,classification occurs at each node in a decision tree. here i have used diabetes dataset with decision tree and i conclude that it is not suitable. (2018-04-20, Jupyter Notebook, 2KB, 下载0次)
心脏病决策树分类器、Bagging分类器和随机森林分类器中的超参数调整...
Hyperparameter tuning in Decision Tree Classifier, Bagging Classifier and Random Forest Classifier for Heart disease dataset. (2019-12-25, Jupyter Notebook, 221KB, 下载0次)
利用乳腺癌威斯康星（原始）数据集，Logistic回归模型对乳腺癌的发生进行了分类...
Using the Breast Cancer Wisconsin (Original) Data Set, model of Logistic Regression Classifies that cancer is beginning or Malignant (2020-05-18, Jupyter Notebook, 7KB, 下载0次)
Logistic回归根据给定的数据估计事件发生的概率，如投票或未投票，并对事件的发生概率进行了估计...
Logistic regression estimates the probability of an event occurring, such as voted or didn t vote, based on a given dataset of independent variables. Since the outcome is a probability, the dependent variable is bounded between 0 and 1. (2023-02-17, Jupyter Notebook, 181KB, 下载0次)
使用KNN插补器和KNN分类器算法。
Using KNN imputer and KNN classifier algorithm. (2020-08-10, Jupyter Notebook, 576KB, 下载0次)
大型非均质团簇粘弹性全波形反演软件
Software for viscoelastic full waveform inversion on large heterogeneous clusters (2023-05-09, Jupyter Notebook, 2341KB, 下载0次)