Merge branch 'master' of https://github.com/ethen8181/machine-learning

README.md

@@ -135,7 +135,7 @@ Tree-based models for both regression and classification tasks.
 - Decision Tree from scratch. [[nbviewer](http://nbviewer.jupyter.org/github/ethen8181/machine-learning/blob/master/trees/decision_tree.ipynb)][[html](http://ethen8181.github.io/machine-learning/trees/decision_tree.html)]
 - Random Forest from scratch and Extra Trees. [[nbviewer](http://nbviewer.jupyter.org/github/ethen8181/machine-learning/blob/master/trees/random_forest.ipynb)][[html](http://ethen8181.github.io/machine-learning/trees/random_forest.html)]
 - Gradient Boosting Machine (GBM) from scratch. [[nbviewer](http://nbviewer.jupyter.org/github/ethen8181/machine-learning/blob/master/trees/gbm/gbm.ipynb)][[html](http://ethen8181.github.io/machine-learning/trees/gbm/gbm.html)]
-- Xgboost API walkthrough (includes hyperparmeter tuning via scikit-learn like API). [[nbviewer](http://nbviewer.jupyter.org/github/ethen8181/machine-learning/blob/master/trees/xgboost.ipynb)][[html](http://ethen8181.github.io/machine-learning/trees/xgboost.html)]
+- Xgboost API walkthrough (includes hyperparameter tuning via scikit-learn like API). [[nbviewer](http://nbviewer.jupyter.org/github/ethen8181/machine-learning/blob/master/trees/xgboost.ipynb)][[html](http://ethen8181.github.io/machine-learning/trees/xgboost.html)]
 - LightGBM API walkthrough and a discussion about categorical features in tree-based models. [[nbviewer](http://nbviewer.jupyter.org/github/ethen8181/machine-learning/blob/master/trees/lightgbm.ipynb)][[html](http://ethen8181.github.io/machine-learning/trees/lightgbm.html)]
 - Monotonic Constraint with Boosted Tree. [[nbviewer](http://nbviewer.jupyter.org/github/ethen8181/machine-learning/blob/master/trees/monotonic.ipynb)][[html](http://ethen8181.github.io/machine-learning/trees/monotonic.html)]