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## Predicting clicks on ads [[view code]](http://nbviewer.jupyter.org/github/marcotav/deep-learning/blob/master/keras-tf-tutorial/notebooks/neural-nets-digits-mnist.ipynb)
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## Predicting clicks on ads [[view code]](http://nbviewer.jupyter.org/github/marcotav/machine-learning-classification-projects/blob/master/click-prediction/notebooks/click-predictive-model.ipynb)
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![image title](https://img.shields.io/badge/work-in%20progress-blue.svg) ![image title](https://img.shields.io/badge/statsmodels-v0.8.0-blue.svg) ![Image title](https://img.shields.io/badge/sklearn-0.19.1-orange.svg) ![Image title](https://img.shields.io/badge/seaborn-v0.8.1-yellow.svg) ![Image title](https://img.shields.io/badge/pandas-0.22.0-red.svg) ![Image title](https://img.shields.io/badge/numpy-1.14.2-green.svg) ![Image title](https://img.shields.io/badge/matplotlib-v2.1.2-orange.svg)
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**The code is available [here](http://nbviewer.jupyter.org/github/marcotav/deep-learning/blob/master/keras-tf-tutorial/notebooks/neural-nets-digits-mnist.ipynb) or by clicking on the.**
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**The code is available [here](http://nbviewer.jupyter.org/github/marcotav/machine-learning-classification-projects/blob/master/click-prediction/notebooks/click-predictive-model.ipynb) or by clicking on the.**
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