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Use the outline of code we discussed in class to create a decision tree for the IrisDataSet which predicts the Type column using the other attributes. Create three versions of this tree: one using entropy, one using the Gini coefficient, and one using the Classification error as splitting criteria. Use the first half of the […]
Archive for the ‘Data analysis and reports’ Category
Office Supply Store Data Analysis
February 24th, 2020 
An office supply store tests a telemarketing campaign to its existing business customers. The company targeted approximately 16,000 customers for the campaign. Assume you are a consultant brought on board to help the company leverage and use the findings from the tests to its advantage. Refer to the accompanying spreadsheet, which contain the results of […]
Python Data Analytics + Tkinter GUI Visualization
January 28th, 2020 I have done 80%, I need to fulfil some functional requirements. 1. The algorithm needs to change, the attributes is dynamically read from the uploaded csv file. Details I can share with you later on.2. Once the algorithm is modified successfully, I need to display the final result graph/table onto Tkinter GUI, inside a canvas […]
Posted in Data analysis and reports, Undergraduate 
Comments Off on Python Data Analytics + Tkinter GUI VisualizationIntroduction & Explanation
January 14th, 2020 Produce an illustrated report that uses analysis and techniques examined during lectures and practicals to examine the distribution, variation and relationships between at least two variables from the following London data: UK Census Air Quality Roads and Parks Airbnb Another dataset for London as agreed with your lecturersThe following specific requirements apply (over and above […]
