Spaces:
Sleeping
Sleeping
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Update Readme file
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README.md
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@@ -8,5 +8,20 @@ sdk_version: 1.21.0
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app_file: app.py
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pinned: false
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---
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A house value is simply more than location and square footage. Like the features that make up a person, an educated party would want to know all aspects that give a house its value.
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We are going to take advantage of all of the feature variables available to use and use it to analyze and predict house prices.
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We are going to break everything into logical steps that allow us to ensure the cleanest, most realistic data for our model to make accurate predictions from.
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- Load Data and Packages
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- Analyzing the Test Variable (Sale Price)
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- Multivariable Analysis
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- Impute Missing Data and Clean Data
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- Feature Transformation/Engineering
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- Modeling and Predictions
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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