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@@ -3,13 +3,13 @@ Work done for [Kaggle](http://www.kaggle.com) competitions.
 
 [>>> Kaggle profile](https://www.kaggle.com/jtbontinck)
 
-## APTOS 2019 Blindness Detection
+## APTOS 2019 Blindness Detection [>>>](https://github.com/jxtrbtk/kaggle/tree/master/aptos2019-blindness-detection)
 Detect diabetic retinopathy from retina images taken using fundus photography under a variety of imaging condition.
 Ingredients : Pre-trained CNNs, Efficient-Net, Ordinal Regression, Pseudo Labelling (semi-supervised learning), Multiple training, Test Time Augmentation, trust your CV !
 
 Public kernels : 
 - [CNN/XGB - End-to-end (0.11)](https://www.kaggle.com/jtbontinck/cnn-xgb-end-to-end-0-11) : re-train a pretrained DenseNet 161 on competition data (5 folds), extract features and then use XBG for prediction + TTA (x2)
-- [CNN/XGB - End-to-end (1.54)](https://www.kaggle.com/jtbontinck/cnn-xgb-end-to-end-1-54) : re-train a pretrained DenseNet 161 on **extrenal+competition** data, fine tune training on competition data only, extract features for XBG for prediction, blend CNN and XGB results + TTA on CNN (x4) - The final score = 0.910, corresponds to 758/798 leaderboard positions. There is an overlap between the first phase training data and the second one, so I did not select this kernel as a final submission as the CV was not correct, unfortunately)
+- [CNN/XGB - End-to-end (1.54)](https://www.kaggle.com/jtbontinck/cnn-xgb-end-to-end-1-54) : re-train a pretrained DenseNet 161 on **extrenal+competition** data, fine tune training on competition data only, extract features for XBG for prediction, blend CNN and XGB results + TTA on CNN (x4) - The final score = 0.910, corresponds to 758/798 leaderboard positions. *(There is an overlap between the first phase training data and the second one, so I did not select this kernel as a final submission as the CV was not correct, unfortunately.)*
 
 ## LANL-Earthquake-Prediction [>>>](https://github.com/jxtrbtk/kaggle/tree/master/LANL-Earthquake-Prediction)
 Forecasting earthquakes for Los Alamos Nationl Laboratory.