6006CEM_2021s1_9122217_JL

The FOLDER 'Files' contains the csv file foreveralone. This file is the dataset file which will be used in Coursework-Part-1. Original dataset can be found here: https://www.kaggle.com/kingburrito666/the-demographic-rforeveralone-dataset

The FILE Coursework-Part-1: Cleaning, pre-processing the dataset (handling nulls/object values) ready for the models.

The FILE Coursework-Part-2: Taking the pre-processed dataset from Coursework-Part-1 and applying feature selection/extration method.

The FILE Coursework-Part-3: Using the method from Coursework-Part-2 and then applying Models (Logistic Regression and KNN) and methods such as (Cross-Validation/Hyper-parameter Tuning/GridsearchCV/Classification-Report and Confusion Matrices) Using Logistic Regression and KNN models to predict target with accuracy scores and an evaluation at the end.

The FILE Experimenting with Different Methods: This was originally going to be Coursework-Part-3, however this was experimenting and comparing different results with different methods. Hyper-parameter Tuning with the use of GridsearchCV method found in this file was used as the main method in Coursework-Part-3 instead.

The FILE customFunctions: Custom functions file for the use of visualising confusion matrices in Coursework-Part-3.

The FILE References used in Coding Files: This file contains all the references related to the in text citations throughout each jupyter notebook and the customFunction python file.

lairdj/6006CEM_2021s1_9122217_JL

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