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)
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)
分类-机器学习这是“分类”教程，是Simplilearn提供的机器学习课程的一部分。在本教程中，我们将学习分类算法、分类算法类型、支持向量机（SVM）、朴素贝叶斯、决策树和随机森林分类器。目标让我们看看...
Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at (2020-05-05, Python, 76KB, 下载0次)
??【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum
Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random
Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成分分析 | LDA 线性判别分析
,
[Numpy Handwritten Implementation] SVM | KNN K Nearest Neighbors | Kmeans | Logistic Regression | Maximum Entropy | Naive Bayes | Perception perceptron | Decision Tree | Random Forest | DBDT | GDA Gaussian Discriminant Analysis | PCA Principal Component Analysis | LDA Linear Discriminant Analysis (2020-03-29, Python, 831KB, 下载0次)