Add show_versions to pycaret

[ngupta23]

Is your feature request related to a problem? Please describe.
When debugging user issues, it is not clear what versions are installed in their environment.

Describe the solution you'd like
Add show_version() similar to what sklearn and sktime does. This will help when we need to debug user issues

https://github.com/alan-turing-institute/sktime/blob/v0.10.0/sktime/utils/_maint/_show_versions.py
https://github.com/scikit-learn/scikit-learn/blob/1.0.2/sklearn/utils/_show_versions.py

Describe alternatives you've considered
The current Issue template only asks for pycaret version. We should ask for all this so debugging becomes easier.

[ngupta23]

To use

from pycaret import show_versions 
show_versions()

Example output

System:
    python: 3.8.12 (default, Oct 12 2021, 03:01:40) [MSC v.1916 64 bit (AMD64)]
executable: C:\Users\Nikhil\.conda\envs\pycaret_dev_sktime_0p10p0\python.exe
   machine: Windows-10-10.0.19042-SP0

Python dependencies:
          pip: 21.2.2
   setuptools: 58.0.4
      pycaret: 3.0.0
      sklearn: 0.24.2
       sktime: 0.10.0
  statsmodels: 0.12.2
        numpy: 1.21.5
        scipy: 1.7.3
       pandas: 1.4.0
   matplotlib: 3.5.1
       plotly: 5.5.0
       joblib: 1.0.1
        numba: 0.55.1
       mlflow: 1.23.1
     lightgbm: 3.3.2
      xgboost: Not installed
     pmdarima: 1.8.4
        tbats: Installed but version unavailable
      prophet: 1.0
      tsfresh: Not installed