将有限差分方法应用于python3中的对流扩散方程。例子包括：一维热方程、输运方程、福克-普朗克方程和一些二维例子。
Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples. (2024-03-16, Python, 0KB, 下载0次)
这是一个受@启发的存储库。我使用数据库是为了学习使用python及其工具进行数据准备；熊猫、小熊猫、斯科林猫、海产猫和马特利布猫。
This is repository is inspired by @. I am using a database in order to learn data preparation with python and its tools; Pandas, numpy, sklean, seaborn and matplotlib. (2024-02-12, Jupyter Notebook, 0KB, 下载0次)
这个网络刮板应用程序分析和比较NBA顶级球员，从维基百科中提取数据，根据每队得分、助攻和篮板来确定前三名球员。通过用户友好的绘图来比较团队内和联盟内的绩效。
This web scraper app analyzes and compares top NBA players, extracting data from Wikipedia to identify the top three players based on points, assists, and rebounds per team. Compare performance within teams and across the league through user-friendly plots. (2024-01-30, Python, 0KB, 下载0次)
本项目的目标是使用贝叶斯定理和scipy统计库进行A B测试，以比较不同的设计...，
The objective of this project is to conduct an A/B test using the Bayes theorem and the scipy-stats library to compare different designs of a webpage. (2023-08-05, Jupyter Notebook, 0KB, 下载0次)
减少汽车在测试台上花费的时间。使用代表梅赛德斯-奔驰汽车不同特征排列的数据集来预测通过测试所需的时间。优化的算法将有助于更快的测试，从而在不降低梅赛德斯-奔驰标准的情况下降低二氧化碳排放。
Reduce the time that cars spend on the test bench. Work with a dataset
representing different permutations of features in a Mercedes-Benz car to
predict the time it takes to pass testing. Optimal algorithms will contribute
to faster testing, resulting in lower carbon dioxide emissions without
reducing Mercedes-Benz’s standards.
, (2023-01-18, HTML, 94KB, 下载0次)
在Python中使用numpy实现机器学习算法。这项练习是约翰·佩斯利博士在哥伦比亚大学机器学习（COMS W4721）课堂上进行的家庭作业的一部分
Implementation of Machine Learning algorithms using numpy in Python. The
exercise was done as part of homeworks given at Columbia s Machine Learning
(COMS W4721) class conducted by Dr. John Paisley
, (2017-05-23, Python, 4309KB, 下载0次)
用于图像处理的陷波滤波器，实现的理想，用于python中图像处理的巴特沃斯和高斯陷波滤波器（带GUI），
Implemented Ideal, ButterWorth and Gaussian Notch Filter for Image processing
in python (with GUI).
, (2021-09-27, Python, 3204KB, 下载0次)
Tesis，化学过程中的数据驱动故障检测：在田纳西州伊斯曼工厂的应用，
Data driven fault detection in chemical processes: Application to Tennessee
Eastman Plant
, (2020-07-19, Python, 6752KB, 下载0次)
使用Python、Pandas和NumPy实现高斯和多项式朴素贝叶斯分类器，而不使用任何现成的库usi
Implementation of Gaussian and Multinomial Naive Bayes Classifier using
Python, Pandas, and NumPy without using any off the shelf library usi
, (2023-01-27, Jupyter Notebook, 109KB, 下载0次)
分析Zomato数据集的基本思想是公平地了解影响每家餐厅总评级的因素，以及在不同地方建立不同类型的餐厅。班加罗尔就是这样一个城市，拥有12000多家餐厅，餐厅供应来自世界各地的菜肴。
The basic idea of analyzing the Zomato dataset is to get a fair idea about the
factors affecting the aggregate rating of each restaurant, establishment of
different types of restaurant at different places, Bengaluru being one such
city has more than 12,000 restaurants with restaurants serving dishes from all
over the world.
, (2022-06-26, Jupyter Notebook, 491KB, 下载0次)
诺贝尔奖是一项国际奖项，由斯德哥尔摩的诺贝尔基金会管理。我已经用numpy、pandas、matplotlib.pyplot、seaborn、dash和plotly进行了探索
The Nobel Prize is an international award administered by the Nobel Foundation
in Stockholm. I have explored it using numpy, pandas, matplotlib.pyplot,
seaborn, dash and plotly
, (2022-05-03, Jupyter Notebook, 2565KB, 下载0次)
该存储库涉及一系列操作，包括数据清理、规范化、缩放、特征选择和降维，以将数据转换为一种干净、有组织的格式，适合使用python中的panda和numpy库分析大数据。
This repository involves a series of operations, including data cleaning,
normalization, scaling, feature selection, and dimensionality reduction, to
transform the data into a clean and organized format that is suitable for
analysis big data using pandas and numpy libraries in python.
, (2023-03-10, Jupyter Notebook, 7KB, 下载0次)
这个项目是测试在python中只使用numpy从头开始编写的分类算法。该项目中编写的算法：KNN、逻辑回归和朴素贝叶斯分类器。
This project is to test classification algorithms wrote from scratch in python
using only numpy. Algorithms wrote in this project: KNN, Logistic Regression
and Naive Bayes classifier.
, (2017-07-23, Jupyter Notebook, 27KB, 下载0次)
使用情绪分析进行股市预测，这是一个深度学习项目（基于巴基斯坦证券交易所和新闻的数据和新闻（黎明新闻））
stock market predictions using sentiment analysis, a deep learning
project(data and news based on pakistani stock exchange and news(Dawn news))
, (2020-10-14, Jupyter Notebook, 4380KB, 下载0次)
群体情绪识别、使用深度神经网络和贝叶斯分类器的群体情绪识别，
Group Emotion Recognition using deep neural networks and Bayesian classifiers.
, (2022-12-08, Jupyter Notebook, 81288KB, 下载0次)
Scala 3中的N维多维数组（张量）。考虑NumPy ndarray PyTorch张量，但在形状、数组轴标签和数字数据类型上键入安全
N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy
ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels &
numeric data types
, (2022-12-22, Scala, 31KB, 下载0次)
斯坦福大学CS231n的PyTorch Tensorflow解决方案：“用于视觉识别的细胞神经网络”
PyTorch/Tensorflow solutions for Stanford s CS231n: "CNNs for Visual
Recognition"
, (2021-01-27, Jupyter Notebook, 24698KB, 下载0次)
在这个存储库中，您可以找到对高光谱图像（印度松树）进行分类降维的文件。
In this repository, You can find the files which implement dimensionality
reduction on the hyperspectral image(Indian Pines) with classification.
, (2020-10-11, Jupyter Notebook, 9071KB, 下载0次)
用于使用机器学习的概率编程方法执行贝叶斯数据分析的示例PyMC3项目。
Example PyMC3 project for performing Bayesian data analysis using a
probabilistic programming approach to machine learning.
, (2019-02-21, Jupyter Notebook, 14249KB, 下载0次)
valinvest，一种基于沃伦·巴菲特、约瑟夫·彼得罗斯基和本杰明·格雷厄姆思想的价值投资工具，
A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin
Graham thoughts
, (2023-02-15, Python, 17KB, 下载0次)