本科的专业课练习。(1)数值分析:LU分解、二分法-试位法、二次样条插值、定点迭代法-牛顿切线法- 正割法求根、带换主元高斯消去法、拉格朗日插值、最小二乘法、牛顿差商法、积分、贝尔斯托递归求根。(2)生产者-消费者问题、页面置换算法、进程管理、文件管理
Undergraduate professional course exercises. (1) Numerical analysis: LU decomposition, dichotomy test position method, quadratic spline interpolation, fixed-point iteration Newton tangent secant method, Gaussian elimination method with principal component replacement, Lagrange interpolation, least square method, Newton difference quotient method, integration, Belsto recursive root finding. (2) Producer consumer problem, page replacement algorithm, process management, file management (2023-12-01, Jupyter Notebook, 0KB, 下载0次)
该回购协议是为伊斯坦布尔数据科学训练营开发的，与BB和Kodluyoruz合作组织...
This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with ?BB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset. (2022-07-10, Jupyter Notebook, 981KB, 下载0次)
该项目专注于开发一个NLP模型，使用朴素贝叶斯来分类候选CV和预测候选...
This project focuses on the development of an NLP model using Naive Bayes to sort candidate CVs and predict candidates invited for an Interview and candidates not invited. (2021-07-14, Jupyter Notebook, 900KB, 下载0次)