使用从公司内部数据库中提取的一系列新闻文章，并根据其内容将其分为政治、技术、体育、商业和娱乐等几个类别。使用自然语言处理，创建并比较至少三个不同的模型。
Use a bunch of news articles extracted from the companies’ internal database and categorize them into several categories like politics, technology, sports, business and entertainment based on their content. Use natural language processing and create & compare at least three different models. (2024-03-06, Jupyter Notebook, 0KB, 下载0次)
分类文本是否与政治、娱乐、体育、商业和技术相关
Classify the Text Whether It is Related to Politics,Entertainment,Sports,Business and Technology (2024-01-01, Jupyter Notebook, 0KB, 下载0次)
基于K均值层次聚类的零售网店聚类分析，，
Retail Online Store cluster analysis using K Means Hierarchical Clustering,, (2023-09-20, Jupyter Notebook, 0KB, 下载0次)
利用弹性网正则化从头开始实现线性和Logistic回归，
An implementation from scratch of Linear and Logistic Regression with elastic- net regularization, (2023-09-12, Jupyter Notebook, 0KB, 下载0次)
我已经探索了简单线性回归、套索、岭、弹性网、决策树和随机森林预测汽车价格的能力...，
I ve explored the power of Simple Linear Regression, Lasso, Ridge, Elastic Net, Decision Trees, and Random Forest to predict car prices accurately. (2023-08-11, Jupyter Notebook, 0KB, 下载0次)
星系有不同的形状、大小和年龄：从美丽的螺旋（像我们的银河系）到巨大的椭圆...
Galaxies come in different shapes, sizes, and ages: from beautiful spirals (like our Milky Way) to huge ellipticals. To understand how these morphologies of galaxies relate to their underlying physics, galaxies morphologies classification is a crucial step. However, it is unlikely to manually classify millions of galaxies observed by modern sky ... (2021-12-15, Jupyter Notebook, 23226KB, 下载0次)
在这个项目中，我们使用CNN、全连接神经网络、逻辑回归等实现了调制识别，...
in this project we implemented modulation recognition using CNN,fully connected neural networks, logistic regression, decision trees and random forests. where we detect the modulation type of a signal with a certain SNR value (2020-06-03, Jupyter Notebook, 11137KB, 下载0次)
介绍python中的机器学习。内容是为完全初学者准备的机器学习演示...
Introduction to machine learning in python. The contents are meant for complete beginners to machine learning to demonstrate the simple models like linear regression, logistic regression and perceptrons. (2018-03-09, Jupyter Notebook, 1260KB, 下载0次)
箱_STUDY-4-LEAD_SCORE_USING_LOGISTIC_REGRESSION，，
CASE_STUDY-4-LEAD_SCORE_USING_LOGISTIC_REGRESSION,, (2021-03-23, Jupyter Notebook, 1055KB, 下载0次)
基于logistic回归的虹膜数据集分类度量，，
Classification-metrics-on-iris-dataset-using-logistic-regression,, (2018-06-20, Jupyter Notebook, 1KB, 下载0次)
基于Logistic回归和动态特征选择的android恶意软件检测方法
Logistic regression and dynamic feature selection based android malware detection approach (2022-04-15, Jupyter Notebook, 500KB, 下载0次)
路网分类，，
Road-Network-Classification,, (2021-08-22, Jupyter Notebook, 22481KB, 下载0次)
使用机器学习技术进行良好的性能优化。（弹性网、支持向量回归器、随机森林...
Well Performance Optimization Using Machine Learning Techniques. (ElasticNet, Support Vector Regressor, Random Forest Regressor, Gradient Boosting Regressor, Neural Network Regressor) (2020-09-29, Jupyter Notebook, 9959KB, 下载0次)