Machine Learning Internship task

Welcome folks, Thank you for applying for this internship and we are super excited to take this conversation ahead with you.

But before we go ahead, we would like you to go thru a small assessment, which will help us to evaluate you better on technical skills and working styles.

Task Objective :

• Perform EDA on the given data.
• Improve the False Positive Rate for this model by adding new feature or any relevent technique.

Currently we see the following results :

ROC_AUC = 0.9960853703703704
Confusion Matrix = 
                  [[13193   307]
                   [  243  5157]]

Instructions :

• Perform all the tasks mentioned above.
• Maintain a single JupyterNotebook which has all the descriptions and code in it.
• Notebook needs to be properly structured with comments.
• Code needs to reproducible.

We will only accept the assignment if its in a single Notebook or else it will be rejected.

Important dates

The assignments needs to be completed in 1 week from today.
Deadline : 15th October

If you have any issue then feel free to create issue on this repository or reachout to us over the internshala chat.

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Cheers!!!
RK