RMfire

RMfire's Stars

• ObjTube/front-end-roadmap

  Tell you how to learn front end development ~

  Language:JavaScript2.7k777

• xlzy520/blog

  存储文章的地方

  Language:JavaScript5

• anyesu/blog

  个人博客内容 详见 issues

  Language:TypeScript162

• brainburster/RenJu_N

  js+html5五子棋（连珠），可修改棋盘大小，有禁手

  Language:JavaScript71

• wangdongdongc/Gomoku

  Web 版的五子棋小游戏

  Language:TypeScript121

• ojeveryday/AlgoWiki

  总结算法刷题套路，在线阅读：

  Language:HTML501110

• zhongsp/TypeScript

  TypeScript 使用手册（中文版）翻译。http://www.typescriptlang.org

  Language:TypeScript7.1k1.1k

• JackeyLea/NJUCS

  2023南京大学计算机科学与技术845考研公共课和专业课资料：数学一、英语一、政治、数据结构、计算机网络、计算机系统基础、操作系统教程、算法设计与分析-包括真题、期末考试、PPT、模拟题、专业课参考书及课后答案、报录比、经验等等

  Language:Python2.3k447

• staresgroup/NJU-SE-GraduateEntrance

  NJU 软院考研专业课资料

  Language:Java30989

• easychen/howto-make-more-money

  程序员如何优雅的挣零花钱，2.0版，升级为小书了。Most of this not work outside China , so no English translate

  Language:PHP17k1.7k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.2k25.4k

• akshaybahadur21/Breast-Cancer-Deep-Learning

  Breast Cancer classification using deep neural network 🔬

  Language:Python3514

• shizan10/Build-Naive-Bayes-Classification-Model-and-Evaluate-Accuracy

  The dataset I have used for this project is the Breast Cancer Wisconsin Diagnostic Database. The dataset includes various information about breast cancer tumors, as well as classification labels of malignant or benign. The dataset has 569 instances, or data, on 569 tumors and includes information on 30 attributes, or features, such as the radius of the tumor, texture, smoothness, and area. Using this dataset, I have build a machine learning model to use tumor information to predict whether or not a tumor is malignant or benign.

  Language:Jupyter Notebook1

• ThyrixYang/nju_cs_kaoyan_19

  南京大学计算机&人工智能19考研　南京大学计算机考研

  617115