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# 常见问题解答
欢迎到Issues提问
### 1. “拆分数据”和“特征缩放”的顺序
见[issue#41](https://github.com/MachineLearning100/100-Days-Of-ML-Code/issues/41)。
可以先“拆分数据”，再“特征缩放”，但需要使用训练集的fit参数，去transform测试集，以保证参数相同。
详见[issue#41](https://github.com/MachineLearning100/100-Days-Of-ML-Code/issues/41)。
### 2. 3Blue1Brown视频
原作中提到的YouTube视频，在B站有[官方中文版](https://space.bilibili.com/88461692/#/)，README的链接也是到B站。
感谢网友在[issue#45](https://github.com/MachineLearning100/100-Days-Of-ML-Code/issues/45)的反馈。
### 3. Deep Learning basics with Python, TensorFlow and Keras
https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/
正在翻译[文字版](https://pythonprogramming.net/introduction-deep-learning-python-tensorflow-keras/)，敬请期待。
详见[issue#52](https://github.com/MachineLearning100/100-Days-Of-ML-Code/issues/52)。