*args collects extra positional arguments as a tuple. **kwargs — collects the extra keyword arguments as a dictionary.

Step1: create a enveronment.yml file Inside .yml file enter the following Name: your environment variable name dependencies: list of packages with versions you want to be installed Step 2: Place the .yml file in the directory where you are working and run the following command: `conda env create -f environment.yml` …

Install: pip install pycateda Github: https://github.com/arjuns2020/pycateda PyPI: https://pypi.org/project/pycateda/ What does it do? First, let’s import the package and one dependency from pandas_profiling import ProfileReport

Everybody talks about machine learning, building models, model accuracy, metrics, etc. But with all the models you build what are you going to do with that? Where will you deploy it? how will you test it with different input parameters? One easy way to do it is through Microsoft Azure…