Running examples from scikit-learn tutorials I am new to scikit-learn. I went through the examples given in the docs and I downloaded the script for recognizing images of hand-written digits. When I made the script to run on my laptop, I got the following errors:
Traceback (most recent call last):
   File &quot;C:\Python34\plot_digits_classification.py&quot;, line 22, in &lt;module&gt;
    from sklearn import datasets, svm, metrics
    File &quot;C:\Python34\lib\site-packages\sklearn\__init__.py&quot;, line 57, in&lt;module&gt;
    from .base import clone
   File &quot;C:\Python34\lib\site-packages\sklearn\base.py&quot;, line 11, in &lt;module&gt;
  from .utils.fixes import signature
  File &quot;C:\Python34\lib\site-packages\sklearn\utils\__init__.py&quot;, line 11, in &lt;module&gt;
   from .validation import (as_float_array,
   File &quot;C:\Python34\lib\site-packages\sklearn\utils\validation.py&quot;, line 16, in &lt;module&gt;
   from ..utils.fixes import signature
  File &quot;C:\Python34\lib\site-packages\sklearn\utils\fixes.py&quot;, line 324, in &lt;module&gt;
   from scipy.sparse.linalg import lsqr as sparse_lsqr
   File &quot;C:\Python34\lib\site-packages\scipy\sparse\linalg\__init__.py&quot;, line 109, in &lt;module&gt;
   from .isolve import *
  File &quot;C:\Python34\lib\site-packages\scipy\sparse\linalg\isolve\__init__.py&quot;, line 6, in &lt;module&gt;
  from .iterative import *
  File &quot;C:\Python34\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py&quot;, line 7, in &lt;module&gt;
  from . import _iterative
  ImportError: DLL load failed: The specified module could not be found.

Please help me. Also, I want to know if I want to load data for prediction, how should I do that? For example, if I want to test a hand written digit that is stored somewhere on my disk, how to prepare that data for loading and passing into this model for prediction?
Seems like you've got to install the module, for example with the pip package manager. Perhaps you could install anaconda, which is highly recommended