Using the caret package in R

Summary: The caret package was developed by Max Kuhn and contains a handful of great functions that help with parameter tuning. Purpose of the caret Package The caret package lets you quickly automate model tuning. ¬†Using a training and holdout sample, the caret package trains a model you provide and returns the optimal model based […]

How to Host the Best Training Sessions

Summary: The best training sessions gather information on the audience before and after by using a survey. There are no surprises in the class because handouts detail everything that is taught. Lastly, analogies are used and students participate in order to cement the knowledge.

Possible Training Path for New Analysts

Past Kaggle Competitions

What Tools Do Kaggle Winners Use?

Summary: Kaggle competitors spend their time exploring the data, building training set samples to build their models on representative data, explore data leaks, and use tools like Python, R, XGBoost, and Multi-Level Models.

The Dangers of Automated Model Selection

Summary: R offers a handful of packages to automate building models. rpart, randomForest, MASS, and forecast packages help you search through a hypothesis space. The caret package helps crawl through the hyper parameter space.

Model Automation using R