Welcome to the laboratory

Here is where I show off my nerdy side.

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Credit Modelling

Objective: Create a machine learning model to allow a conservative investor to avoid people that will default on their loans.

Result: False positive rate of 9% achieved and a true positive rate of 24%.

Predicting House Sale Prices in Ames, Iowa

Objective: Use linear regression to predict the sale prices of houses in the city of Ames in Iowa, USA.

Result: RMSE of 28931.

Chinook Business Insights

Objective: Answer business questions and make the best decision for future business moves.

Result: The rock genre is popular in the USA. Czech Republic, United Kingdom, and India have great growth opportunities. Finally, album purchases account for 20% of total sales, so the offering should remain.

Hacker News Pipeline

Objective: Construct a data pipeline to retrieve the 100 most common keywords of the most popular articles on Hacker News.

Result: "Google", "Bitcoin", "programming", and "Python" make the headlines of the most popular articles.

Predict Bike Rentals

Objective: Identify the best machine learning model to predict the total number of bike rentals for a given time of the day.

Result: A random forest regressor with a minimum of 5 samples at a leaf node is the best model.

Fandango Movie Reviews

Objective: Determine if Fandango movie reviews are biased.

Result: Fandango is biased. The average rating is 4 out of 5, as opposed to 3 out of 5 from Metacritic.