Fixed notebook links

README.md

@@ -52,7 +52,7 @@ The slides from Day 1 are available [here](https://www.dropbox.com/s/o8jiciq3ps2
 
 * [In-class practice](./materials/day_1/DecisionTreePractice.pdf) for Decision Trees and Random Forests.
 * [Click here](https://github.com/QCB-Collaboratory/W17.MachineLearning/raw/master/materials/day_1/Data_Practice_DecisionTrees.dat.zip) to download the data used in the Decision Tree practice.
-* [Jupyter Notebook](./materials/day_1/My%20First%20Notebook.ipynb) of the first day.
+* [Jupyter Notebook](http://nbviewer.jupyter.org/github/QCB-Collaboratory/W17.MachineLearning/blob/master/materials/day_1/My%20First%20Notebook.ipynb) of the first day.
 * You can find [here](https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-017-01741-8/MediaObjects/41467_2017_1741_MOESM4_ESM.mp4) the video from slide 82.
 
 
@@ -121,7 +121,7 @@ Slides from this class are available [here](https://www.dropbox.com/s/4q1pk2c4xm
 
 * [Click here](https://github.com/QCB-Collaboratory/W17.MachineLearning/raw/master/materials/day_2/Day2_testdataset.zip) for the dataset explored on Day 1.
 * [Click here](./materials/day_2/banana_dataset.csv) for the banana dataset.
-* [Jupyter Notebook](http://nbviewer.jupyter.org/github/thmosqueiro/MachineLearning_CollW/blob/master/materials/day_2/Practice_Day_2.ipynb) with the code from day 2
+* [Jupyter Notebook](http://nbviewer.jupyter.org/github/QCB-Collaboratory/W17.MachineLearning/blob/master/materials/day_2/Practice_Day_2.ipynb) with the code from day 2
 
 
 ### Jupyter with other languages
@@ -143,7 +143,7 @@ The slides from Day 3 are available [here](https://www.dropbox.com/s/szmxeqclhgc
 ### Class materials
 
 * [Click here](https://github.com/QCB-Collaboratory/W17.MachineLearning/raw/master/materials/day_2/Day2_testdataset.zip) for the dataset used with regression.
-* [Jupyter Notebook](http://nbviewer.jupyter.org/github/thmosqueiro/MachineLearning_CollW/blob/master/materials/day_3/Pratice_Day_3.ipynb) with the code from day 3
+* [Jupyter Notebook](http://nbviewer.jupyter.org/github/QCB-Collaboratory/W17.MachineLearning/blob/master/materials/day_3/Pratice_Day_3.ipynb) with the code from day 3
 
 
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