MLTOOLS-2685 (sending for review just in case some other links were meant to be in this place)

ref:8fd48566e047d30add00386dd9b85d6fe7668762

Author: guitarman

apply_model/README.md

@@ -1,13 +1,13 @@
 # Apply model
 
-* [CatBoost CoreML Tutorial](apply_model/coreml_export_tutorial.ipynb)
+* [CatBoost CoreML Tutorial](coreml_export_tutorial.ipynb)
     * Explore this tutorial to learn how to convert CatBoost model to CoreML format and use it on any iOS device.
 
-* [Export CatBoost Model as C++ code Tutorial](apply_model/model_export_as_cpp_code_tutorial.md)
+* [Export CatBoost Model as C++ code Tutorial](model_export_as_cpp_code_tutorial.md)
     * Catboost model could be saved as standalone C++ code.
 
-* [Export CatBoost Model as Python code Tutorial](apply_model/model_export_as_python_code_tutorial.md)
+* [Export CatBoost Model as Python code Tutorial](model_export_as_python_code_tutorial.md)
     * Catboost model could be saved as standalone Python code.
 
-* [Export CatBoost Model in JSON format Tutorial](apply_model/model_export_as_json_tutorial.ipynb)
+* [Export CatBoost Model in JSON format Tutorial](model_export_as_json_tutorial.ipynb)
     * Catboost model could be saved in JSON format and applied.

classification/README.md

@@ -1,4 +1,4 @@
 # Classification
 
-* [Classification Tutorial](classification/classification_tutorial.ipynb)
+* [Classification Tutorial](classification_tutorial.ipynb)
     * Here is an example for CatBoost to solve binary classification and multi-classification problems.

competition_examples/README.md

@@ -1,10 +1,10 @@
 # Competition examples
 
-* [Kaggle Paribas Competition Tutorial](competition_examples/kaggle_paribas.ipynb)
+* [Kaggle Paribas Competition Tutorial](kaggle_paribas.ipynb)
     * This tutorial shows how to get to a 9th place on Kaggle Paribas competition with only few lines of code and training a CatBoost model.
 
-* [ML Boot Camp V Competition Tutorial](competition_examples/mlbootcamp_v_tutorial.ipynb)
+* [ML Boot Camp V Competition Tutorial](mlbootcamp_v_tutorial.ipynb)
     * This is an actual 7th place solution by Mikhail Pershin. Solution is very simple and is based on CatBoost.
 
-* [CatBoost & TensorFlow Tutorial](competition_examples/quora_w2v.ipynb)
+* [CatBoost & TensorFlow Tutorial](quora_w2v.ipynb)
     * This tutorial shows how to use CatBoost together with TensorFlow on Kaggle Quora Question Pairs competition if you have text as input data.