Entry 12: Missing Values
Wikipedia has a succinct definition of missing values: “missing data, or missing values, occur when no data value is stored for the variable in an observatio...
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Entry 11: Consolidate Pre-processing Steps
Working on the machine learning process over 10 entries left my code fragmented with different versions of key functions scattered across multiple notebooks.
Entry 10: Reorder Pre-processing and Make Predictions
Using the pre-processing steps I worked through in entries 6-8, I can now predict mass while only changing the surface pressure.
Entry 9: Train Model
At the end of the Entry 8 noteboook I had a standardized dataset. Now it’s time to try training a model.
Entry 8: Centering and Scaling
By the end of Entry 7 I’d finalized the feature set to train a model and make predictions. One last step is needed before a prediction can be made.