鉴于社交媒体账户的庞大数据集，我们的任务是寻找加拿大境内外国干预的迹象，并通过为广大观众量身定制的数据驱动故事来展示我们的发现
Given a large dataset of social media accounts, we were tasked with the open-ended goal of searching for signs of Foreign Interference in Canada and presenting our findings via a data-driven story tailored for a broad audience (2024-03-06, Jupyter Notebook, 0KB, 下载0次)
垃圾邮件检测模型使用多项式朴素贝叶斯分类器将其预测为两个不同的类别：垃圾邮件或火腿。使用的库：Pandas、NLTK、Matplotlib pyplot模块、Countvector等。
Spam Detection Model Using Multinomial Naive Bayes Classifier to predict them into two different categories : Spam or Ham. Libraries Used : Pandas, NLTK, Matplotlib pyplot module, Countvectorizer etc. (2024-03-04, Jupyter Notebook, 0KB, 下载0次)
该项目利用主成分分析（PCA）和K-means聚类算法来降低维度，并在年轻人偏好和特征的调查数据集中找到有意义的聚类。它包括数据预处理、PCA计算和使用Python库（如Pandas、NumPy、Matplotlib和Scikit learn）的聚类分析。
This project utilizes Principal Components Analysis (PCA) and K-means clustering algorithm to reduce dimensionality and find meaningful clusters in a survey dataset of young people s preferences and traits. It includes data preprocessing, PCA computation, and cluster analysis using Python libraries like Pandas, NumPy, Matplotlib, and Scikit-learn. (2024-02-14, Jupyter Notebook, 0KB, 下载0次)
在正面和负面评论的数据集上使用朴素贝叶斯算法探索情感分析。该项目演示从头开始的动手实现，并将结果与Python库进行比较。在Google Colab上用Python开发。
Explore sentiment analysis using Naive Bayes algorithm on a dataset of positive and negative reviews. This project demonstrates hands-on implementation from scratch and compares results with a Python library. Developed in Python on Google Colab. (2024-01-02, Jupyter Notebook, 0KB, 下载0次)
2006年，汉斯·罗斯林（Hans Rosling）在TED上发表了一篇题为“你所见过的最好的统计数据”的演讲。在演讲开始时，他展示了一个他制作的动画，以揭穿对当今世界的一些误解。我喜欢看到这种可视化，并用我知道的工具（即Python、Pandas、Numpy、Seaborn和Matplotlib）复制它。
In 2006, Hans Rosling gave a TED talk titled The best stats you ve ever seen. At the beginning of the talk, he showed an animation he made to debunk some misconceptions about today s world. I enjoyed seeing this visualisation and reproduced it with the tools I know (i.e. Python, Pandas, Numpy, Seaborn and Matplotlib). (2023-12-30, Jupyter Notebook, 0KB, 下载0次)
训练一个语言模型，能够解释Python代码，并提供有趣的解释，灵感来自好莱坞黑手党经典作品，如《教父》、《赌场》和《古德菲拉斯》。
Train a Language Model capable of explaining Python code and providing explanations with a fun twist inspired by Hollywood mafia classics such as “The Godfather”, “Casino”, and “Goodfellas. (2023-12-22, Jupyter Notebook, 0KB, 下载0次)
该项目展示了使用Python和Scikit学习来区分恶性和良性乳腺癌肿瘤的朴素贝叶斯分类器的开发。该模型在综合数据集上训练，展示了机器学习算法在医学诊断中的实际应用。
This project showcases the development of a Naive Bayes classifier to distinguish malignant from benign breast cancer tumors using Python and Scikit-learn. The model, trained on a comprehensive dataset, demonstrates the practical application of machine learning algorithms in medical diagnostics. (2023-12-21, Jupyter Notebook, 0KB, 下载0次)
为艾克斯马赛大学神经科学硕士1的Python辅导创建的文件和代码，
Files and codes created for the python tutoring in the Master 1 of Neurosciences at Aix-Marseille-University, (2023-09-06, Jupyter Notebook, 0KB, 下载0次)
Jupyter笔记本，用于格拉斯大学硕士课程“经济和金融数据分析”的Python入门课程...，
Jupyter notebooks for introductory Python course for the MSc program "Data Analytics for Economics and Finance" at the University of Glasgow. (2023-05-26, Jupyter Notebook, 0KB, 下载0次)
我在2015年春季教授的“Python编程”课程的讲稿。在曼彻斯特大学，
Lecture notes for the "Programming with Python" course I have taught in Spring 2015. at The University of Manchester, (2017-01-21, Jupyter Notebook, 0KB, 下载0次)
卡尔斯鲁厄理工学院（2020）汤姆·布朗的能源系统建模课程资源。，
Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020)., (2022-11-13, Jupyter Notebook, 0KB, 下载0次)
一个与我的论文项目“新希格斯膨胀”相关的代码库。主目录中的Python代码用于确定...，
A repository for my code relevant to my thesis project on New Higgs Inflation. The Python codes in the home directory are used to determine Fisher constraints for cosmological parameters using a covariance matrix. The Notebooks folder contains a series of notebooks designed to introduce an undergraduate to the project, which remains ongoing. (2018-08-22, Jupyter Notebook, 0KB, 下载0次)
用于编译俄罗斯径流（RFR v1.0）数据集的python脚本和Jupyter笔记本的集合。
The collection of python scripts and Jupyter Notebooks for the compilation of the Runoff for Russia (RFR v1.0) dataset. (2022-11-08, Jupyter Notebook, 0KB, 下载0次)
分析了哈里亚纳·维德汉·萨巴哈（Haryana Vidhan Sabha）以前的选举结果和其他因素，并与各种参数进行了比较...
Analyzing previous election results for Haryana Vidhan Sabha and other factors and to compare them with various parameter to conclude results. (2021-05-23, Jupyter Notebook, 0KB, 下载0次)
使用机器学习建模布达佩斯的房地产市场
Modelling real estate market in Budapest using machine learning (2020-02-23, Jupyter Notebook, 37174KB, 下载0次)