原文见https://github.com/MLEveryday/100-Days-Of-ML-Code/blob/master/Code/Day%201_Data_Preprocessing.md Day_1 warning解决方法: 第三步:处理丢失数据 fromsklearn.preprocessingimportImputer imputer= Imputer(missing_values ="NaN", strategy ="mean", axis =0) imputer= imputer.fit(X[:, 1:3]) ...
https://github.com/Avik-Jain/100-Days-Of-ML-Code 该项目的起源是 ML 界的网红 Siraj Raval 发起了一个挑战赛:100 Days Of ML Code。他发起的这个项目意在号召大家行动起来,每天至少花费 1 小时的时间来学习提升或者应用编程,连续坚持 100 天,从而更好的理解和掌握机器学习这个强大的工具。积跬步以至千里。
100-Days-Of-ML-Code / Latest commit Cannot retrieve latest commit at this time. History History 机器学习100天 英文原版请移步Avik-Jain。数据在这里。 翻译前请先阅读规范。常见问题解答见FAQ。 目录 有监督学习 数据预处理 简单线性回归 多元线性回归 ...
:https://github.com/MLEveryday/100-Days-Of-ML-Code/blob/master/Code/Day1_Data_Preprocessing...一.数据预处理1)导入主要的库,pandas数据处理库,Numpy数学运算库。2)导入数据集,数据集的格式有很多,json,csv,txt,等以csv为例,通过pandas读取。3)数据 ...
100 Days of ML Coding. Contribute to Linchenpal/100-Days-Of-ML-Code development by creating an account on GitHub.
应该有朋友知道《100-Days-Of-ML-Code》这个存在于GitHub上的系列课程,已经有超过19K的star了! 不过这个是英文版的,地址如下: https://github.com/Avik-Jain/100-Days-Of-ML-Code 现在有勤劳勇敢,无私奉献的大神们同步推出了中文版,喜欢的小伙伴,欢迎转发,收藏哦 ...
Python-100-Days-master 跟着python100学习一下 100以内的素数 # 输出100以内的所有素数# 想法:从1到100遍历,假设得到了i=17,那么此时从1到9遍历,如果找到了一个数用17能除尽则跳出循环# 如果找不到这个数,那么把i输出为素数foriinrange(2,100):
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