Acquired well fit secondary data from Kaggle and performed pre-processing and feature selection on dataset. Modelled cleaned dataset through multi-layer perceptron with 2 hidden layers with MSE loss fucntion and ADAM optimizer (final MSE 1.05).
File uploaded is a prototype ipynb of wellbeing evaluator with rought sketch of logic involved in program, run through google colab by uploading dataset attached.
Dependencies: pandas, numpy, matplotlib, tensorflow, keras, sklearn, ipywidgets