Installation
*Critical to this walkthrough is the installation of Scikit Learn.Prior to doing this,make sure to download Python3.With your terminal open,make sure that you have both Numpy and Scipy installed with
pip:
pip install numpy
pip install scipy
The rest of the installation process is satisfying simple.One command performs the magic:
pip install scikit-learn
After a short time you should receive successfully installed scikit-learn.In order to read CSV files for this walkthrough, we’ll also require Pandas. As before, one command covers our tracks:
pip install pandas
There we have it-installation complete!
一、The Unknown Word
| The First Column | The Second Column |
|---|---|
| Numpy | numerical Python[nju:'merikl]数字的 |
| dataset | 数据集 |
| management system | 管理系统 |
| source package | 开源包 |
| repository | [ri'pa:zeto:ri]仓库 |
| apache | 阿帕奇，APACHE |
| pip | Python包管理工具 |
二、Why choose Anaconda?
2.1 What's Anaconda?
- Anaconda is The Most Popular Python Data Science Platform
2.2 What's conda?
- Conda is an open source package management system and environment management system that runs on Windows,macOS and Linux.