Readme

In this project a, performance comparison between different machine learning algorithms: Linear Regression, Random Forest, SVM, k-NN and Artificial Neural-Net on the Wisconsin Breast Cancer datasets is done. We have to predict the Stage of Breast Cancer - M (Malignant) and B (Bengin). The main objective is to assess the correctness in classifying data with respect to accuracy and efficiency of each algorithm.

Jupyter Notebook : Breast_Cancer_Prediction.ipynb)
Jupyter Notebook (ANN implementation): Neural_Net_Breast_Cancer.ipynb)

Results

This work is a part of my Minor Project under Mr. Arvind Kumar Pal, Assistant Professor, Manipal University Jaipur

If you have any queries or suggestions you can mail me: vkasojhaa@gmail.com