Tidy up/dedupe decision tree notebooks.

README.md

@@ -50,8 +50,8 @@
 * Week 2 [Regression Workflow](Machine-Learning/Supervised-Methods/Regression/01-ML_Workflow_Diabetes.ipynb)
 * Week 3 [Logistic Regression](Machine-Learning/Supervised-Methods/Regression/02-LogisticRegression_Iris.ipynb)
 * Week 4 [Support Vector Machines (SVM)](Machine-Learning/Supervised-Methods/Support-Vector-Machines.ipynb)
-* Week 5 [Decision Trees](Machine-Learning/Supervised-Methods/Decision-Trees/04-DecisionTrees.ipynb)
-* Week 6 [Random Forests](Machine-Learning/Supervised-Methods/Decision-Trees/05-RandomForest.ipynb)
+* Week 5 [Decision Trees](Machine-Learning/Supervised-Methods/Decision-Trees/DecisionTrees.ipynb)
+* Week 6 [Random Forests](Machine-Learning/Supervised-Methods/Decision-Trees/RandomForests.ipynb)
 * Week 7 [Principal Component Analysis (PCA)](Machine-Learning/Unsupervised-Methods/Principal-Component-Analysis.ipynb)
 * Week 8 [K-Means Clustering](Machine-Learning/Unsupervised-Methods/K-Means-Clustering.ipynb)
 * Week 9 [Git](Project-Tools/Git/GIT-CLI-CORE.pdf)