Neural Networks

So I am not doing a proper post today because I am busy brushing up on my Neural Networks so that I can do some more details posts on this and hopefully how they can be implemented for many different uses. I have a couple of use cases at work that I will be able to use this for. 

The first is something which I logistic regression model could be used for but the new course that I am taking on Deep Learning has a model for detection of fraud using neural networks. The other is for the prediction of customer churn rate. 

The course can be found on Udemy, I am using this in conjunction with the Machine learning hands on book to increase my knowledge on neural networks and machine learning. 

Getting Started: Tensorflow and Keras

This is one of those things that you think would be as easy as pip / conda install tensorflow and
whilst it is not hard finding the right solution on Anaconda was, for me at least, in a comment on
StackOverflow. Basically open the Anaconda Navigator, go to the Environments tab, then go
into the Anaconda 3 environment. In here search in uninstalled for Tensorflow and then hit apply,
I also did the same for Keras.