Module not found error

AI & Machine learning
1

from Unsupervising Learning in Trading course, how can risolve this issue?

I created new environment with machine learning libraries and my Python version is 3.8.5

Thank you

2

Hi Alessandro,



Can you help me with a few things here. Was the machine learning environment successfully set up? 

Usually, the machine learning environment requires Microsoft Visual C++ latest libraries, which takes a while to download.



But if the environment is setup and you are facing the issue, can I ask if the data module folder is present too.

Usually, I like to keep the data_module folder in the same folder where the notebook is present. 



It would be great if you can send a screenshot of the error, and also mention the notebook where you got the error.



Thanks.

3 
Hi,
the notebook is "Capstone Project Solution Template" from the course 
"Unsupervising Learning in Trading" and this is the error:

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_16064/3538653902.py in <module>
     21 import sys
     22 sys.path.append("..")
---> 23 from data_modules.unsup_capstone_util import check_stationarity, correlation_check, get_number_of_clusters, performance_analysis

~\Desktop\TRADING\Quantra\Unsupervising Learning in Trading\Code-Template-and-Data-Files\notebook\..\data_modules\unsup_capstone_util.py in <module>
      3 import numpy as np
      4 import matplotlib.pyplot as plt
----> 5 from statsmodels.tsa.stattools import adfuller
      6 from sklearn.cluster import KMeans
      7 

ModuleNotFoundError: No module named 'statsmodels'

I installed Microsoft Visual C++ but I'm facing the issue.
Thanks
4

Hi Alessandro,



There must have been an issue with the installation process as I am not able to reproduce that error. For now, can you add one line of code to the notebook which is given below.



!pip install statsmodels==0.12.2



And execute the code before you run the code blocks. I think this should help resolve your issue.