Personal Data Science project work.
Now the dataset has been created, the next step is to produce a predictive model. In this case a "Supervised Machine Learning" model will be used. This is where …
Sports Analytics... if you are a sporting fanatic and Data Science geek like me, then it's the ultimate combination !! I have a massive interest in how you can …
Previous blog posts have provided details on how the source dataset was created, from scratch, with a mixture of tools such as R + Python. Now we have that, what are …
Taken from Wikipedia ...Feature scaling is a method used to standardize the range of independent variables or features of data. In data processing, it is also known as data …
The creation of a dataset was split into two parts.The initial phase, involved looking at League One fixtures and creating a dataset within Excel for matches played in season 2016/17. …
As mentioned in the previous update, one of the data items I wish to have included in the final dataset (to be used for training/modelling) is the weather, or more …
So briefly summarising part 1 of this Blog Series. The steps involved in the Data Science process are :-Business / Data UnderstandingData AcquisitionData Preparation/WranglingData Modelling and EvaluationBusiness or Data …
Is it possible to predict the attendances in the professional English Football League ?Well in order to aid in my learning process and feed my passion for Data Science, …