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Predict Boston Housing prices using Linear Regression
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king-county-housing-linear-regression's Introduction
Module 1 Final Project : Predicting House Sales in King County
Emily J. Cain - October 2018
OSEMN Data Science Process
- Change values to correct type as needed
- Replace or remove null or placeholder values
- Change formatting as needed
- Check for typos and duplicates
- Understand the data through visualization, inspection, and descriptive statistics
- Explore relationships with visualization
- Understand why certain values were collected and included in dataset
- Generate questions that can be answered from the data
Modeling - an Iterative Process
- Use questions to guide modeling
- Generate meaningful visualizations
- Normalize values as needed
- Use models to examine relationships between variables
- Assess model fit
- Repeat as needed
- Draw conclusions from the data that answer initial questions or that raise new questions
- Evaluate meaning of results from a technical perspective
- Evaluate meaning of results for non-technical stakeholders
- Present and communicate results based on audience
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