machinelearning_notebook/第五次作业

dataset_moons:
**dataset_moons**:

![dataset_moons](images/dataset_moon.png)



dataset_circles:
**dataset_circles**:

![dataset_circles](images/dataset_circle.png)



**dataset_digits**:

![dataset_digits](images/dataset_digits.png)



加载数据的方式是：
```python
# moon dataset
@@ -33,13 +41,32 @@ plt.show()

dataset_circles的数据文件是`dataset_circles.csv`

dataset_digits的加载方式：
```python
import matplotlib.pyplot as plt 
from sklearn.datasets import load_digits

# load data
digits = load_digits()

# copied from notebook 02_sklearn_data.ipynb
fig = plt.figure(figsize=(6, 6))  # figure size in inches
fig.subplots_adjust(left=0, right=1, bottom=0, top=1, hspace=0.05, wspace=0.05)

# plot the digits: each image is 8x8 pixels
for i in range(64):
    ax = fig.add_subplot(8, 8, i + 1, xticks=[], yticks=[])
    ax.imshow(digits.images[i], cmap=plt.cm.binary)
    
    # label the image with the target value
    ax.text(0, 7, str(digits.target[i]))