update tutorials readme - small typos
Thanks Yandex, CatBoost Team, Mikhail, Anna and maintainers for releasing CatBoost project to the open-source community!
I hereby agree to the terms of the CLA available at:
* Main CatBoost tutorial with base features demonstration:
* __kaggle_titanic_catboost_demo.ipynb__
- * This tutorial shows how to train a model on Titanic kaggle dataset. Examples of cross validation, parameter tunning and overfitting detection are provided.
+ * This tutorial shows how to train a model on Titanic kaggle dataset. Examples of cross validation, parameter tuning and overfitting detection are provided.
* __catboost_base_functions.ipynb__
* This tutorial shows different usages of CatBoost including training with custom error function, using different classes for training, using weights and others.
-* CatBoost perfomance at different competition:
+* CatBoost performance at different competitions:
* __kaggle_paribas.ipynb__
* This tutorial shows how to get to a 9th place on paribas competition with only few lines of code and training a CatBoost model.
* __mlbootcamp_v_tutorial.ipynb__
* This is an actual 7th place solution by Mikhail Pershin. Solution is very simple and is based on CatBoost.
-* CatBoost and Tensorflow:
+* CatBoost and TensorFlow:
* __quora_catboost_w2v.ipynb__
- * This tutorial shows how to use CatBoost together with Tensorflow if you have text as input data.
+ * This tutorial shows how to use CatBoost together with TensorFlow if you have text as input data.
* CatBoost and CoreML:
* __catboost_coreml_export_tutorial.ipynb__
* __catboost\_r\_tutorial.ipynb__
* This tutorial shows how to convert your data to CatBoost Pool, how to train a model and how to make cross validation and parameter tunning.
-## Cmomand line tutorials
+## Command line tutorials
* Main CatBoost tutorial with base features demonstration:
* __catboost\_cmdline\_tutorial.md__
