This was the project for the course Technical Analysis of Real World Problems.
we have proposed to do Longitudinal analysis of Breast cancer patients . It can be done using Machine Learning and Deep Learning analysis and exploratory data analysis using PowerBI .
The data belongs to UCI and not us. Link to the dataset : https://archive.ics.uci.edu/ml/datasets/breast+cancer+wisconsin+(Prognostic)
The Highest accuracy is recievced by LightGBM which IS 87.8%, after PCA logistic Regression gives the highest around 84% and with balnced weight class Random Forest gives highest with 87.8%.