1.1, Logistics regression algorithm Practice

1.1, Logistics regression algorithm Practice
　　With the theoretical preparation of the previous blog post, we then use and complete the function to build the logistics regression classifier. We train by using linear data that can be divided as training samples. In the process of building the model, there are two main steps: (1) using training samples to train the model, (2) using the well-trained model to predict the new samples.

1.1.1

1.1, Logistics regression algorithm Practice