我练习了一些ML分类器，如Logistic回归、SVM、决策树、随机森林、梯度提升、Ada Boosting、KNN、朴素贝叶斯。
I practiced some ML Classifiers such as Logistic Regression, SVM, Decision Tree, Random Forest, Gradient Boosting, Ada Boosting, KNN, Naive Bayes. (2024-04-18, Jupyter Notebook, 0KB, 下载0次)
重启贝叶斯在线变化点检测器与上下文Bandit算法的集成（线性置信上限和汤普森采样）
Integration of the Restarted Bayesian Online Change Point Detector with Contextual Bandit algorithms (Linear Upper Confidence Bound & Thompson Sampling) (2024-02-18, Jupyter Notebook, 0KB, 下载0次)
决策树分类器是一种机器学习算法，用于分类和回归任务。它通过递归工作…
A Decision Tree Classifier is a machine learning algorithm that is used for both classification and regression tasks. It works by recurs… (2024-01-16, Jupyter Notebook, 0KB, 下载0次)
在根特预测每小时自行车计数Coupure链接，采用直方图梯度提升回归器来预测7月的值b…
Predicting hourly bicyclist counts on Coupure Links in Ghent, employing a Histogram Gradient Boosting regressor to forecast July values b… (2024-01-16, Jupyter Notebook, 0KB, 下载0次)
利用梯度增强分类器（sklearn包）和少量数据可视化（matplotlib、seaborn等）预测定期存款...
Predicting term deposits using gradient boosting classifier (sklearn package) with a few data visualizations (matplotlib, seaborn etc) for us to better understand the variables that play a factor when it comes to potential customers subscribing to a term deposit (2020-09-14, Jupyter Notebook, 0KB, 下载0次)
实现了逻辑回归、决策树、随机森林和梯度提升树等具有交叉验证的ML分类器...
Implementation of ML classifiers such as logistic regression, decision tree, random forest and gradient boosted tree with cross validation and parameter sweep (2020-02-25, Jupyter Notebook, 0KB, 下载0次)
开发了一种使用机器学习算法的股票价格预测器，以根据历史数据、技术......预测未来价格走势...，
Developed a stock price predictor using machine learning algorithms to forecast future price movements based on historical data, technical indicators, and market trends. Achieved accurate predictions to aid in informed investment decision-making. Implemented in Python, utilizing regression and time series analysis techniques. (2023-09-14, Jupyter Notebook, 0KB, 下载0次)
我们开发了机器学习模型，以使用朴素贝叶斯分类器预测泰坦尼克号坠毁的幸存者。，
We Develop machine learning model to Predict about survival from titanic crash using Naive Bayes classifier., (2023-09-07, Jupyter Notebook, 0KB, 下载0次)
最小错误率分类器旨在通过考虑与错误分类相关的成本来最小化总分类错误。...，
Minimum Error Rate Classifier aims to minimize the total classification error by considering the costs associated with misclassification. It involves assigning each data point to the class that results in the least total cost. The cost matrix specifies the cost of misclassifying one class as another. (2023-08-17, Jupyter Notebook, 0KB, 下载0次)
使用KNN、高斯朴素贝叶斯分类器以及各种性能指标的疾病预测模型，
Disease Prediction Model using KNN, Gaussian Naive Bayes Classifier along with various performance metrics, (2023-08-03, Jupyter Notebook, 0KB, 下载0次)
Logistic回归和决策树分类器模型，用于识别有接种后死亡率风险的婴儿。，
Logistic regression and decision tree classifier models to identify infants who are at risk of post-inoculation mortality., (2023-07-27, Jupyter Notebook, 0KB, 下载0次)
构建了一个端到端机器学习项目，并测试了不同的算法，如逻辑回归、分类、决策树、随机...、...，
Built an end-to-end Machine Learning project and tested different algorithms like Logistic Regression,Classification,Decision tree,Random forest using Numpy, Pandas, Matplotlib, Sklearn etc. Libraries. (2019-10-18, Jupyter Notebook, 0KB, 下载0次)
使用各种机器学习模型（如Logistic回归、SVM、MLP分类器、决策树和随机Fo...）进行玻璃类型分类...，
Glass Type Classification using various Machine Learning Models like Logistic Regression, SVM, MLPClassifier, Decision Tree and Random Forest (2022-04-25, Jupyter Notebook, 0KB, 下载0次)
R库-基于费米-狄拉克分布下给定秩的类概率的二元分类器，
R library - A binary classifier based on the class probability at a given rank following Fermi-Dirac distribution, (2023-07-06, Jupyter Notebook, 0KB, 下载0次)
对于TMM4155中关于有限元分析的项目。这是一个计算器，它可以找到与频率最接近的值...
For a project in TMM4155 about Finite Element Analysis. This is a calculator which finds the closest value to the frequencies of four guitar strings. Used for optimising the best design for a loudspeaker. (2019-06-12, Jupyter Notebook, 3529KB, 下载0次)
...训练数据集。然后使用流水线进行线性回归、决策树、RF回归器、SVM，然后进行Gr...
This project is based on the official dataset of IPL and contains detailed information of each inning from 2008 to 2020. In this project we have work on multiple datasets and did data cleaning and feature engineering to get required feature in our final training dataset. Then using pipeline we have perform Linear Regression, Decision Tree, RF (2021-09-28, Jupyter Notebook, 2102KB, 下载0次)
只是使用正向Euler对自定义ODE解算器进行了一些实验。速度足够快，可以用于某些实时模拟...
Just some experiments with a custom ODE solver using Forward-Euler. Fast enough to be used in some realtime simulation applications. (2019-02-10, Jupyter Notebook, 89KB, 下载0次)
利用改进的欧拉方法实现了一个常微分方程求解器，在此基础上给出了水平抛球的轨迹...
Implemented an ODE solver using Improved Euler s method, base on which the trajectory of a horizontally thrown ball was calculated. (2022-10-30, Jupyter Notebook, 76KB, 下载0次)
使用朴素贝叶斯分类器预测工业风险研究中的保障类别，如HAZOP和LOPA。
Using Naives Bayes Classifier to predict Safeguard Categories in Industrial Risk Study, like HAZOP and LOPA. (2023-02-10, Jupyter Notebook, 652KB, 下载0次)
Python实现了完整而严格的最小二乘调整（基于lmfit），用于绘制3D旋转变压器...
Python implementation of complete and rigorous least-squares adjustment (based on lmfit) for esitmating 3D rototranslation with scale factor based on at least 4 common points. (2022-10-27, Jupyter Notebook, 522KB, 下载0次)