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@@ -7,7 +7,7 @@
 # Course structure
 
 - Two days workshop, 1.5 days workshop + .5 day working on own data / prepared data.
-- Every part below includes a coding session using Jupter notebooks.
+- Every part below includes a coding session using Jupyter notebooks.
 - Coding sessions provide code frames which should be completed.
 - We provide solutions.
 
@@ -16,7 +16,7 @@
 
 ## Part 0: Preparation
 
-- Quick basics matplotlib, numpy, pandas?:
+- Quick basics matplotlib, numpy, pandas?
 
 
 ### Coding session
@@ -115,7 +115,7 @@ classifiers / regressors have parameters / degrees of freedom.
 
 ## Part 6: Overview classifiers
 
-- Neighrest neighbours
+- Nearest neighbours
 - SVMs
   - demo for RBF: different parameters influence on decision line
 - Random forests