They asked me to share python code samples I have written to see my python knowledge.
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I was asked to "cleanse and provide validated "winner_price" data" to feed into an ML pipeline. To do this, I was provided with a CSV file with about 10 rows of data. There was no instruction or data dictionary provided, however, it seemed that each "contract" was bid on by multiple "participants" and the winner was chosen (as per the instructions) as the participant with the lowest bid offer. That means each "participants" field contained a list... important to notice though it wasn't explained at all in the instructions where the winner price was chosen from - that was left for the reader to decipher.
Whats the difference between bagging and boosting and when to use them
What is your work experience?
How would you sanitize a data set?
What got you into data science
Design a recommender system for Airbnb listings
Data manipulation, understanding two-sided marketplaces, logistic regression
Why chosen statistics were used in specified model.
How would you validate an analysis you performed?
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