朴素贝叶斯和随机森林在乳腺癌预测和探索性数据分析中的应用
Breast Cancer prediction and Exploratory Data Analysis using Naive Bayes and Random forest (2023-11-13, Jupyter Notebook, 0KB, 下载0次)
这是一个在威斯康星州乳腺癌数据集上执行的深度学习和机器学习项目。
This a Deep Learning and Machine Learning project performed on Wisconsin Breast Cancer dataset. (2023-11-08, Jupyter Notebook, 0KB, 下载0次)
使用streamlit创建一个应用程序，使用（威斯康星乳腺癌（诊断）数据集）帮助预测乳腺癌，
creat an app with streamlit that helps predicting breast cancer using (Breast Cancer Wisconsin (Diagnostic) Data Set), (2023-10-25, Jupyter Notebook, 0KB, 下载0次)
威斯康星乳腺癌预测分析DL，，
Wisconsin Breast Cancer Prediction Analysis DL,, (2023-10-04, Jupyter Notebook, 0KB, 下载0次)
布雷斯特癌症预测-，，
Brest-cancer-prediction-,, (2023-08-29, Jupyter Notebook, 0KB, 下载0次)
威斯康星乳腺癌数据集分析。根据肿瘤特征预测肿瘤的恶性程度。已探索的数据...
Analysis of Wisconsin Breast Cancer dataset. Predicted malignancy of tumor based on tumor characteristics. Explored decision boundary for KNN, logistic and SVM and created a ROC curve from scratch (2019-04-10, Jupyter Notebook, 1969KB, 下载0次)
威斯康星乳腺癌（诊断）数据集：预测癌症是良性还是恶性。
Breast Cancer Wisconsin (Diagnostic) Data Set: Predict whether the cancer is benign or malignant. (2017-10-02, Jupyter Notebook, 579KB, 下载0次)
KAGGLE：威斯康星乳腺癌（诊断）数据集预测癌症是良性还是恶性
KAGGLE: Breast Cancer Wisconsin (Diagnostic) Data Set Predict whether the cancer is benign or malignant (2019-08-09, Jupyter Notebook, 22KB, 下载0次)
威斯康星s-乳腺癌预后预测，，
prediction_on_Wisconsin-s-Breast_Cancer-Prognosis,, (2020-05-06, Jupyter Notebook, 505KB, 下载0次)
比较不同机器学习在乳腺癌-威斯康星（诊断）数据集上的性能。
Comparison performances of different machine learning on the Breast Cancer Wisconsin (Diagnostic) Data Set. (2018-08-10, Jupyter Notebook, 933KB, 下载0次)
贝叶斯方法在乳腺癌预测中的应用
Breast Cancer Prediction Using Bayesian Methods (2022-05-11, Jupyter Notebook, 465KB, 下载0次)
使用威斯康星州乳腺癌（诊断）数据库，我们可以创建一个分类器，帮助诊断患者和
Using the Breast Cancer Wisconsin (Diagnostic) Database, we can create a classifier that can help diagnose patients and (2019-07-31, Jupyter Notebook, 117KB, 下载0次)
乳腺癌的分析和预测，以新加坡为重点。这利用了各种数据集和模型，旨在...
Analysis and prediction on breast cancer, with a focus on Singapore. This utilises various datasets and models aimed to provide as comprehensive a coverage as possible. (2021-08-19, Jupyter Notebook, 46536KB, 下载0次)
基于SVM和朴素贝叶斯ML算法的乳腺癌患者生存预测
Predicting Breat cancer patients survival with SVM and Naive Bayes ML algorithms (2022-05-21, Jupyter Notebook, 1078KB, 下载0次)
使用威斯康星乳腺癌诊断数据集进行预测分析
Using the Wisconsin breast cancer diagnostic data set for predictive analysis (2020-06-02, Jupyter Notebook, 3391KB, 下载0次)
基于前馈神经网络特征选择的威斯康星数据集乳腺癌预测
Prediction of Breast Cancer from Wisconsin Dataset using feature selection on feed forward neural network (2022-01-02, Jupyter Notebook, 330KB, 下载0次)
布雷斯特癌症数据集预测
Brest Cancer Data Set Prediction (2021-09-03, Jupyter Notebook, 838KB, 下载0次)
预测癌症是良性还是恶性<https:www.kaggle.com威斯康星州uciml乳腺癌数据>
预测癌症是良性还是恶性<https:www.kaggle.com威斯康星州uciml乳腺癌数据> (2019-10-16, Jupyter Notebook, 2455KB, 下载0次)
使用威斯康星大学的数据创建机器学习模型，以预测恶性或良性乳腺癌的趋势。
Create Machine Learning Model using data from Wisconsin University to predict malignant or benign breast cancer trends. (2022-10-19, Jupyter Notebook, 8895KB, 下载0次)
布雷斯特癌症预测，，
Brest-Cancer-Prediction,, (2021-03-20, Jupyter Notebook, 634KB, 下载0次)