牛客Yijay

分类

/ 注册

全部文章（共24篇）

题解 | 数据集随机洗牌

import re import numpy as np def shuffle_data(X, y, seed=None): if seed: np.random.seed(seed) idx = np.random.permutation(len(X)...

2026-02-12

2 50

题解 | 鸢尾花分类

from sklearn.datasets import load_iris from sklearn.linear_model import LogisticRegression import numpy as np import random # 1.读入数据 iris = load_iri...

2026-02-12

0 48

题解 | 异常值与缺失值

import numpy as np # 输入 n = int(input().strip()) data = [] for _ in range(n): data.append(float(input().strip())) data = np.array(data) # 数据处理...

2026-02-11

0 39

题解 | 计算某字符出现次数

import sys lines = sys.stdin.read().strip().splitlines() word = lines[0].lower() s = lines[1].lower() cnt = 0 for ch in word: if ch == s: ...

2026-02-09

1 47

题解 | 字符串最后一个单词的长度

s = input().strip() words = s.split() print(len(words[-1]))

2026-02-09

1 39

题解 | 特征扩展实现

import numpy as np def feature_scaling(data): # 补全代码 data = np.array(data, dtype=float) # 确保是浮点数运算 # 标准化缩放 mean = data.mean(axis=0...

2026-02-09

1 51

题解 | 使用梯度下降的线性回归

import numpy as np def linear_regression_gradient_descent(X, y, alpha, iterations): # 补全代码 X = np.array(X, dtype=float) y = np.array(y, dt...

2026-02-08

1 51

题解 | 使用正规方程的线性回归

import numpy as np import sys def linear_regression_normal_equation(X ,y): X = np.array(X ,dtype=float) y = np.array(y, dtype=float) # ...

2026-02-08

0 56

题解 | 识别有效的IP地址和掩码并进行分类统计

import sys def parse_ipv4(s: str): parts = s.split('.') if len(parts) != 4: return None nums = [] for p in parts: if ...

2026-02-08

0 58

题解 | 坐标移动

input_list = input().split(';') initial = [0, 0] for item in input_list: if not 2 <= len(item) <= 3: continue try: dir...

2026-02-07

0 43