diff --git "a/\347\254\254\344\272\224\346\254\241\344\275\234\344\270\232" "b/\347\254\254\344\272\224\346\254\241\344\275\234\344\270\232"
new file mode 100644
index 0000000000000000000000000000000000000000..162eab054ebb59d8f0e70a89b7f027bcee9d112d
--- /dev/null
+++ "b/\347\254\254\344\272\224\346\254\241\344\275\234\344\270\232"
@@ -0,0 +1,46 @@
+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]))