Using the Kaggle used car datasetLinks to an external site., transform the categorical data columns with Python tools so that the data can be processed by a deep neural network. You can submit a Ipython notebook or Python script. In addition, describe your approach towards transforming the data. This could be done with comments in your Python code. Submit to your github and dockerhub portfolio repositories.

Data ingest starts the machine learning process. This ingest assumes “good” data. Good data requires two key steps: handling data failures and formatting the data for machine learning model requirements. The former, data failures, is discussed in the machine learning introduction video for this week. Submit the DataFailureTemplate.xlsx Download DataFailureTemplate.xlsxspreadsheet with at least two types of data failures, the remedial solutions, and any disadvantages/considerations to the solutions.

You can download the notebook here