Use pandas and seaborn in Python to analyze the spaceship titanic data from the Kaggle competition as if you were prepping it for a data scientist. extract insights using pandas seaborn and created user-defined functions to keep your analyses clean and to the point coding. Understand what insights need to be collected for a data scientist to build a model. In this 2 part project, you will have the opportunity to take over the modeling and be the data scientist. You will use the insights collected in this project to build the model in the next. Learn how to analyze data from the perspective of a data scientist in contrast to extracting business insights for your team at work.
Submit your first data science Kaggle competition here.
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Data Groups:
Create our own user-defined function in Python that not only will give you statistical data analytical plots but will also print out summary statistics and how they impact our target.