Inspiration: Fascination with ML and Data Analysis
What it does: Predicts toothpaste product price based on various variables
How we built it: Using Python, RandomForestRegressor
Challenges we ran into: Time Constraints, ML Algorithms Compilation, Too Big Data Set
Accomplishments that we're proud of: We got to a conclusion that makes sense. We found ingredients that affect the price of toothpaste. We are proud for building a working predictive model.
What we learned: New ML Algorithms, Data Cleaning and Parsing
What's next for Toothpaste Data Analysis: This is just the beginning of it. There is a lot more to work on and make it the absolute best model.
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