Update README.md

README.md

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 This directory contains the code for running a Wide and Deep model. It also runs in Cloud ML Engine. This code has been tested on Python 2.7 but should also run on Python 3.5
 
-Follow along the codelab here: bit.ly/widendeep-slides
+Follow along the codelab here: http://bit.ly/widendeep-slides
 
 # About the dataset and model
 Wide and deep jointly trains wide linear models and deep neural networks -- to combine the benefits of memorization and generalization for recommender systems. See the [research paper](https://arxiv.org/abs/1606.07792) for more details. The code is based on the [TensorFlow wide and deep tutorial](https://www.tensorflow.org/tutorials/wide_and_deep/).
@@ -12,9 +12,9 @@ We will use the [Kaggle Criteo Dataset](https://www.kaggle.com/c/criteo-display-
 The dataset is downloaded as part of the script (and in the cloud directly uses the copy stored online).
 
 If you wish to download a copy, the data are located here:
-gs://dataset-uploader/criteo-kaggle/small_version -- 2.5MB, 10K rows
-gs://dataset-uploader/criteo-kaggle/medium_version -- 273MB, 1M rows
-gs://dataset-uploader/criteo-kaggle/large_version  -- 2.7GB, 10M rows
+- gs://dataset-uploader/criteo-kaggle/small_version -- 2.5MB, 10K rows
+- gs://dataset-uploader/criteo-kaggle/medium_version -- 273MB, 1M rows
+- gs://dataset-uploader/criteo-kaggle/large_version  -- 2.7GB, 10M rows
 
 Each folder contains 2 files: train.csv and eval.csv