Machine learning series：How to handle categorical variable

時間 2020-05-14

標籤 machine learning series handle categorical variable 欄目應用數學简体版

原文原文鏈接

One hot encoding one hot encoding creates new (binary) columns, indicating the presence of each possible value from the original data.python ## explore the data type print(train_data.dtypes) ## one ho

>>阅读原文<<

1. How to handle Imbalanced Classification Problems in machine learning?
2. Introduction to Machine Learning
3. Machine Learning - Data Pre-processing
4. An Introduction to Machine Learning with Python
5. Kaggle micro-courses 之 Machine Learning
6. Machine Learning Kaggle Competition Part Two
7. kaggle教程--Intermediate Machine Learning
8. Machine Learning Project Walkthrough: Preparing the features
9. Machine Learning : Pre-processing features
10. Approaching (Almost) Any Machine Learning Problem
更多相關文章...
• Docker Machine - Docker教程
• XSLT 元素 - XSLT 教程
• Java Agent入門實戰（一）-Instrumentation介紹與使用
• Java Agent入門實戰（三）-JVM Attach原理與使用

相關標籤/搜索

每日一句

每一个你不满意的现在，都有一个你没有努力的曾经。

最新文章

1. resiprocate 之repro使用
2. Ubuntu配置Ｇithub並且新建倉庫push代碼，從已有倉庫clone代碼，並且push
3. 設計模式9——模板方法模式
4. avue crud form組件的快速配置使用方法詳細講解
5. python基礎B
6. 從零開始···將工程上傳到github
7. Eclipse插件篇
8. Oracle網絡服務獨立監聽的配置
9. php7 fmp模式
10. 第5章　Linux文件及目錄管理命令基礎

本站公眾號

歡迎關注本站公眾號,獲取更多信息

1. How to handle Imbalanced Classification Problems in machine learning?
2. Introduction to Machine Learning
3. Machine Learning - Data Pre-processing
4. An Introduction to Machine Learning with Python
5. Kaggle micro-courses 之 Machine Learning
6. Machine Learning Kaggle Competition Part Two
7. kaggle教程--Intermediate Machine Learning
8. Machine Learning Project Walkthrough: Preparing the features
9. Machine Learning : Pre-processing features
10. Approaching (Almost) Any Machine Learning Problem

>>更多相關文章<<