Description
This is where I share any thoughts on interesting topics within python, data science or within the world in general. This is a much more open blogging section covering as many topics as my imagination can think of and my interest is fuelled by.
Building an Artificial Neural Network python object in TensorflowHere I build an artifical neural network object built using Google's tensorflow. This speeds up the ability to build the model by simply calling an instance of the class. This is extremely helpful when prototyping different Neural network architectures. This class is solely for building a Multi-layer perceptron model. This does not encompass other variations of the Artificial Neural Network (ANN) like Convolutional Neural Nets (CNN) and Recurrent Neural Nets (RNN), although I may build classes for those very popular architectures.
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My Standardised Framework To Solving Data Science Problems
When I first started out solving real world problems within data science, I found it difficult to find a specific way to approach a problem so that I could effectively solve it. I had an idea as to how I would approach problems as I am a natural problem solver, however, sometimes I can be a stickler for a process or a method to provide some sort of guidance. I don't believe there is only ever ONE way to do anything, as this mentality limits creativity and innovation and the world would be a boring place. There is no ONE way to solve a problem, there never has been, this IS science! However, I find this a useful framework
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DataQuest Experience For The Data Scientist TrackAs a believer in continual Learning, I have decided to enrol onto a course that specialises in teaching data science in python! I was unable to find a structured course specific for data science that went into as much detail as DataQuest. The majority of the data science community tend to use the R programming language. I don't mind R, however it's nowhere near as versatile as Python in applications other than Data Science, hence why I chose to invest in this course. I've learnt SO much and this is where I share the most interesting snippets from the course.
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