R-Machine-Learning-Legacy
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recommendations for additional restructuring
I delivered the workshop with these current materials, and things went pretty smoothly, but it's too much material for two 3 hour workshops.
I'd recommend splitting this workshop into either 3 or 4 2-hour workshops. This could look something like:
- Part 1: introduction and regression
- Part 2: preprocessing
- Part 3: regularization and cross-validation
- Part 4: more models
Perhaps Parts 1/2 could be merged into a single workshop.
I'd also recommend beefing up the "more models" section to more appropriately fill a 2 hour slot: more details on logistic regression, naive bayes, and random forest
All good suggestions. Happy to talk further on implementation once the labor action is complete.