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Using Supervised Machine Learning to Predict Home Prices

Brief Description: This presentation walks through a methodology for building a predictive regression model to predict home prices. The project incorporates data cleaning, feature engineering, feature filtering, and one-hot encoding to prepare your data for model building. We compare various algorithms and walk through the process of hyper-parameter tuning. Short bio: 
Jackie Zuker has a master’s degree in Bioinformatics from Johns Hopkins University, where she learned to analyze genomes and other large datasets using statistical analysis and coding. She has recently shifted her focus to data science, building predictive models for work in the casino industry. In her free time, Jackie enjoys living in the mountains, raising her two young daughters, and geeking out with data.

Earlier Event: September 11
A Week of Code
Later Event: November 13
Weapons of Math Destruction