Add K-means and Random Forest Smile Tutorials (#1109) * Create Heart Random forest.md * intro to random Forest tutorial * add basic decision tree content * Add images for decision trees * Add intro to random forest * Add Heart dataset for random forest tutorial * Add code snippets through variable importance * Add Tablesaw feature importance plot * Add correlation matrix * Cleanup formatting of correlation matrix * change parameter cut * Add OOB-Error vs ntrees plot code * add OOBError v ntrees plot * add OOBError v ntrees image * typo cleanup * add final model with accuracy metric, recap Add final model with model performance measure. Recap the tutorial and provide some extension notes on limitations to the simplistic RF approach with potential next steps for this model. * Add AccuracyvTrees table initialization * cleanup * Create K means Uber NYC * Delete K means Uber NYC * Create Uber K Means.md * add initial k means info * Add links to reference materials * Add remainder of code * Fix code snippet format * Add k=3 k means plot * Add initial k means plot * add distortion plot * Fix elbow code, update k=4 throughout, add elbow p * add K4 * Add centroids * add K=4 plot with centroid * Add time filtered clusters * Add time dependent plots and update code * update image sizes * Fix code indents * cleanup * update title * fix typos * add conclusions and extensions * add dataset for k-means tutorial * add data link. * change images to relative references * make all links absolute from top of repo for consistency with rest of docs * switch to absolute file path links conforms to style of rest of docs and will prevent render issues when merge * Add new Smile tutorials to TOC * add basic introduction file * Add smile introduction to TOC * %20 whitespace in links
