巴州客服工单自动聚类项目, stars:0, update:2024-06-21 11:36:21 (2024-06-23, Jupyter Notebook, 0KB, 下载0次)
http://www.pudn.com/Download/item/id/1719095523728229.html
该存储库包含一个机器学习项目，专注于预测泰坦尼克号上乘客的生存。该项目使用sklearn库中的支持向量回归（SVR）模型，涉及数据预处理和预测。
This repository contains a machine learning project focused on predicting the survival of passengers on the Titanic. The project uses a Support Vector Regression (SVR) model from the sklearn library and involves data preprocessing and prediction. (2024-01-07, Jupyter Notebook, 0KB, 下载0次)
不完全数据下乘客机票价格预测的混合PSO-XGboost-KNN模型
A hybrid PSO-XGboost-KNN model to predict the price of the airline tickets for passengers on incomplete data (2023-11-04, Jupyter Notebook, 0KB, 下载0次)
使用Python、R、线性回归、Logistic回归、功能引擎预测泰坦尼克号上乘客的存活率...
Predict survival of a passenger on the Titanic using Python, R, Linear Regression, Logistic Regression, Feature Engineering & Random Forests (2017-01-08, Jupyter Notebook, 727KB, 下载0次)
本项目的目标是建立一个决策树模型，该模型可以预测列车上乘客的存活率...
The objective of this project is to build a decision tree model that can predict the survival of passengers on the Titanic based on certain features. The goal is to achieve high accuracy in predicting whether a passenger survived or not. (2023-04-05, Jupyter Notebook, 245KB, 下载0次)
使用Logistic回归对Cat进行二元分类。在吴昌俊的指导下努力工作。
Binary classification of Cat using Logistic regression. Worked hard under guidance of Andrew Ng. (2019-02-19, Jupyter Notebook, 375KB, 下载0次)
服务外包大赛19年选题14-运用文本相似度实现(证券)智能客服【恒生电子】,回笼觉国家队代码
Selected topic of the service outsourcing contest in 19 years 14- use text similarity to achieve (securities) intelligent customer service [Hang Seng Electronics], and recall the national team code (2019-04-29, Jupyter Notebook, 44091KB, 下载0次)
缅甸Tanintharyi土地分类的谷歌地球引擎代码
Google Earth Engine code for land classification in Tanintharyi, Myanmar (2020-05-03, Jupyter Notebook, 16KB, 下载0次)