使用各种机器学习算法（如Gradient boosting、LightGB、Catboost、Decision Tree、Kernal SVM、投票分类器）通过文本检测情感
Detectiong emotions through text using various machine learning algorithms like Gradient boosting, LightGB, Catboost, Decision Tree, Kernal SVM, voting classifier (2024-05-08, Jupyter Notebook, 0KB, 下载0次)
该项目使用NLP技术和朴素贝叶斯分类器来分析餐厅评论，将其分为正面或负面。
This project employs NLP techniques and a Naive Bayes classifier to analyze restaurant reviews, categorizing them as positive or negative. (2024-03-09, Jupyter Notebook, 0KB, 下载0次)
以自由能水合自由能为例，演示了从偏最小二乘到感知器模型的转移学习...
Demonstration of transfer learning from Partial Least Squares to a Perceptron model on an example of hydration free energies from the FreeSolv dataset. (2023-11-09, Jupyter Notebook, 0KB, 下载0次)
普通最小二乘，岭回归，期望最大化，完全贝叶斯推理，贝叶斯分类器，kNN，和MLP核心算法...
Ordinary Least Squares, Ridge Regression, Expectation Maximization, Full Bayesian Inference, Bayes Classifiers, kNN, and MLP core algorithms from scratch. Some auxiliary functions are also used. (2023-11-09, Jupyter Notebook, 0KB, 下载0次)
FSFM制造。DL_2023-最终作业：小型研究项目。论文“使用TiDE进行长期预测：时间序列密集编码器”
FSFM MADS. DL_2023 - Final Assignment: Mini Research Project. Paper "Long-term Forecasting with TiDE: Time-series Dense Encoder" (2023-11-04, Jupyter Notebook, 0KB, 下载0次)
算法智能符号音乐Paulstrech增强器和生成器
Algorithmic Intelligence Symbolic Music Paulstrech Augmentator and Generator (2021-05-10, Jupyter Notebook, 0KB, 下载0次)
...-矢量器，为回归模型准备它。我跑了线性回归，岭，套索，随机森林，梯度增强，神经网络...
I designed a selenium web-scraper that constantly pulls new jobs from google s job search platform and pull the Glassdoor estimated salary for these jobs. I cleaned up the job posting, tokenized, lemmatized, removed stop words, and ran it through a TFIDF-Vectorizer to prepare it for the regression models. I ran Linear Regression, Ridge, Lasso, (2019-05-10, Jupyter Notebook, 0KB, 下载0次)
采用随机森林、决策树Logistic回归、SVM和梯度增强分类器等挖掘技术进行预测...
Predicting the attrition or churn rate in an organization based on the employee features like age, income, work experience, post in the company etc. For this prediction, I used the fictional dataset created by the IBM Data Scientists. Different data mining techniques like Random Forest, Decision Trees Logistic Regression, SVM and Gradient (2019-09-05, Jupyter Notebook, 0KB, 下载0次)
使用梯度提升分类器来预测客户是否会流失；建立了系统地清理和转换数据的管道；绘图...
Used Gradient Boosting Classifier to predict if a customer will churn; Built a pipeline to clean and transform data systematically; Plotted Partial Dependence Plots to identify root causes for customers to churn and proposed targeted marketing strategy (2018-10-26, Jupyter Notebook, 0KB, 下载0次)
这里从头开始实现正向传播，使用pyswarms库中的PSO实例作为优化器。训练过程...，
Here a forward propagation is implemented from scratch, a PSO instance from the pyswarms library is used as optimizer. The training process is repeated for 150 epochs on the mushroom data with a swarm that contains 100 particles. (2023-09-26, Jupyter Notebook, 0KB, 下载0次)
我们开发了机器学习模型，使用朴素贝叶斯分类器来预测电子邮件是否是垃圾邮件。，
We Develop machine learning model to Predict about email is spam or not using Naive Bayes classifier., (2023-09-07, Jupyter Notebook, 0KB, 下载0次)
Python中的Jupyter笔记本，用于构建朴素贝叶斯分类器，将职务解析为其职责和功能级别...，
A streamlit application for developing relevant buyer persona from CRM contact records having English job titles. (2023-08-10, Jupyter Notebook, 0KB, 下载0次)
在本项目中，借助BM3D去噪器，利用ADMM方法完成了模型图像的重建。为了重建图像...，
In this project with the help of BM3D denoiser model image reconstruction has been accomplished with ADMM approch. To reconstruct the image, a single-pixel imaging with random DMD pattern is simulated with python and TV and L1 norm methods applied to reconstruct the image. (2023-06-29, Jupyter Notebook, 0KB, 下载0次)
使用分类算法预测未来的潜在出价。探索性数据分析|PCA|LDA|SMOTE|决策树分类器...，
Using classification algorithms to predict shill bids in the future. Exploratory Data Analysis| PCA| LDA| SMOTE| Decision Tree Classifier| K-nearest Neighbours| Logistic Regression. (2023-07-25, Jupyter Notebook, 0KB, 下载0次)
应用决策树、多层感知器和Logistic回归，利用特征预测将系统分为稳定系统和不稳定系统...，
Applied Decision tree, Multilayer perceptron and Logistic regression for classification into stable and unstable system using features provided in Electrical Grid Stability Simulated Data Data Set dataset. (2020-02-04, Jupyter Notebook, 0KB, 下载0次)
一种可预测不确定状态估计和更新的传感器融合算法
A Sensor Fusion Algorithm that can predict a State Estimate and Update if it is uncertain (2022-05-31, Jupyter Notebook, 0KB, 下载0次)
这是我为FreeCodeCamp.org做的关于猫和狗的图像分类器的项目，用于Pyth的机器学习...
This is my project for FreeCodeCamp.org about an Image Classifier of Cats and Dogs for the Machine Learning with Python course. (2023-06-06, Jupyter Notebook, 2332KB, 下载0次)
这是一个基于样本概率的分类器，它通过计算概率来找到样本的最接近值
This is a classifier based on probablity of samles it find the most closet value of a sample by calulating probablity (2020-03-15, Jupyter Notebook, 1KB, 下载0次)
这是一篇题为：多敏感度数据的公平感知朴素贝叶斯分类器的实现...
This is the implementation for the paper titled: Fairness-aware Naive Bayes Classifier for Data with Multiple Sensitive Features. (2023-01-03, Jupyter Notebook, 3912KB, 下载0次)
一种使用最小二乘分类器方法建立的机器学习模型，该模型被训练为识别0到9的数字
A machine learning model built using least square classifer method that is trained to identify digits from 0 to 9 (2020-02-15, Jupyter Notebook, 1936KB, 下载0次)