Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076
After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology within Machine Learning and discuss linear regression with OLS, decision trees, and common visualization tools for data scientists.
Show Notes
After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol? Today on the show, Ben and Michael continue the discussion on EDA methodology within Machine Learning and discuss linear regression with OLS, decision trees, and common visualization tools for data scientists.
In this episode...
- Linear regression with OLS
- Accuracy metrics
- Decision trees
- Shapley values
- Common visualization tools
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Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076
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