利用人工神经网络和随机森林分类器对银行存款进行预测。
Prediction the exited in bank using Artificial Neural Network and Random Forest Classifier. (2024-05-03, Jupyter Notebook, 0KB, 下载0次)
文本分类使用朴素贝叶斯、Logistic回归、SVM、决策树，也使用特征抽取器。
text classification using Naive bayes, Logistic Regression, SVM, Decision tree and also use feature extractor. (2024-03-13, Jupyter Notebook, 0KB, 下载0次)
基于直方图梯度提升树、弹性网络和多层感知器的美国公司市场价值预测
Market Value prediction of US companies using Histogram-based Gradient Boosting Tree, Elastic Net and Multi Layered Perceptron (2024-01-19, Jupyter Notebook, 0KB, 下载0次)
探索机器学习中的分类器性能。评估不同数据集上的朴素贝叶斯、Logistic回归和梯度提升。妈妈…
Explore classifier performance in machine learning. Assess Naive Bayes, Logistic Regression, and Gradient Boosting on varied datasets. Ma… (2024-01-20, Jupyter Notebook, 0KB, 下载0次)
这是获得Python科学计算认证的免费编解码器挑战。是算术格式化程序。
this is the freecodecamp challenge to aquire the certification to Scientific Computing with Python. Is a arithmetic-formatter. (2023-12-09, Jupyter Notebook, 0KB, 下载0次)
探索鸢尾花分类项目与强大的分类器：逻辑回归，决策树，随机森林，k-Nearest Neigh...
Explore Iris Flowers Classification project with powerful classifiers: Logistic Regression, Decision Tree, Random Forest, k-Nearest Neighbors. Includes user input for real-time species classification. ???? (2023-11-11, Jupyter Notebook, 0KB, 下载0次)
监督学习：分类（贝叶斯分类器，k-最近邻，逻辑回归，决策树，随机森林），数值...
Supervised Learning: Classification(Bayes Classifier, k-Nearest Neighbours, Logistic Regression, Decision Tree, Random Forest), Numerical(Linear Regression, Regressor Trees). Unsupervised Learning: Anomaly Detection with Isolation Forest, Clustering(K-Means, Hierarchical Clustering).[Cross Validation,Best Feature Selection, PCA,Neural Networks] (2023-11-06, Jupyter Notebook, 0KB, 下载0次)
桑坦德研究项目。这个特殊的研究项目探索了使用集成分类器（如梯度增强）的潜力
Santander Research Project. This particular research project explores the potential of using ensembles classifiers such as Gradient Boosting (2022-01-17, Jupyter Notebook, 0KB, 下载0次)
基于历史天气数据和SEF微电网控制器数据训练的梯度增强决策树。
Gradient boosted decision trees trained on historical weather data and data from SEF microgrid controllers. (2021-08-24, Jupyter Notebook, 0KB, 下载0次)
心脏病发作EDA（探索性数据分析）预测使用KNN分类，Logistic回归，随机森林分类器，AdaBoost...
Heart Attack EDA (Exploratory Data Analysis) Prediction using KNN Classification, Logistic Regression, Random Forest Classifier, AdaBoost Classifier, Gradient Boosting Classifier, (2021-06-11, Jupyter Notebook, 0KB, 下载0次)
该系统有一个GUI，使用梯度增强分类器检测给定的URL是恶意的还是良性的
this system have a GUI that detects whether given URL is malicious or benign using gradient boosting classifier (2017-11-02, Jupyter Notebook, 0KB, 下载0次)
“使用强大的分类器探索鸢尾花分类项目：逻辑回归，决策树，随机森林，k-Nearest Neig...，
"Explore Iris Flowers Classification project with powerful classifiers: Logistic Regression, Decision Tree, Random Forest, k-Nearest Neighbors. Includes user input for real-time species classification. ???? (2023-09-25, Jupyter Notebook, 0KB, 下载0次)
用于布料模拟的MPCG解算器实现。UBC.2021WT1 MATH 607E（PDE数值方法）的学期项目。，
MPCG solver implemenation for cloth simulation. Term project for MATH 607E (Numerical Methods for PDEs), 2021WT1 at UBC., (2021-12-22, Jupyter Notebook, 0KB, 下载0次)
Python程序，用于更改壁纸，在其上添加随机报价和股票报价器
Python program to change wallpaper adding a random quote and stock tickers of choice on it (2022-09-12, Jupyter Notebook, 0KB, 下载0次)
一个简单的一维高斯朴素贝叶斯分类器。
A simple 1-dimensional Gaussian Na ve Bayes Classifier. (2021-09-01, Jupyter Notebook, 7KB, 下载0次)
使用研究文献中发现的拉普拉斯近似技术实现贝叶斯分类器。分类…
Implementation of a Bayesian Classifier using Laplace Approximation techniques found in research literature. Classifi… (2021-09-13, Jupyter Notebook, 0KB, 下载0次)
垃圾邮件分类器使用朴素贝叶斯从头开始（与拉普拉斯平滑），而不使用scikit学习。
Spam Classifier using Naive Bayes from scratch (with Laplace Smoothing) without use of scikit-learn. (2021-07-09, Jupyter Notebook, 1671KB, 下载0次)
高斯朴素贝叶斯分类器在自动驾驶汽车换道数据分类中的应用
Gaussian Naive Bayes classifier to classify lane-change data for Self Driving Car (2017-08-01, Jupyter Notebook, 612KB, 下载0次)
使用朴素贝叶斯算法的垃圾邮件分类器。
Spam classifier using Naive Bayes algorithm. (2018-12-27, Jupyter Notebook, 417KB, 下载0次)
最小二乘二值分类器在MNIST手写数字集上的有效性分析。
An Analysis of the effectiveness of a least squares binary classifier on the MNIST handwritten digit set. (2020-05-15, Jupyter Notebook, 11580KB, 下载0次)