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Building Machine Learning Model to predict whether the cancer is benign or malignant on Breast Cancer Wisconsin Data Set

Jupyter Notebook 99.74% HTML 0.12% Python 0.07% CSS 0.06%

breast-cancer-wisconsin's Introduction

Building Machine Learning Model to predict whether the cancer is benign or malignant on Breast Cancer Wisconsin Data Set.

Define Problem Statement

Our objective is to identify which features are most helpful in predicting malignant or benign cancer and to classify whether the breast cancer is benign or malignant.

Access the folder for the complete project with this link

Breast-Cancer-Wisconsin

This folder holds the Python code connected to this 5 part article:

Part 1 | Part 2 | Part 3 | Part 4 | Part 5

With this code and the associated articles, we are going to learn:

How to explore our data and find the hidden relationship between features using different kind of visualization techniques?
How to extract meaningful significant features from the data using different kind of feature selection techniques.
Create multiple models from scratch in python. Train and evaluate it.
Apply different modeling techniques to The Wisconsin Cancer Data-set. Predict if a tumor is benign or malignant, based on selected different features.

The data comes from The Wisconsin Cancer Data-set. This data was gathered by the University of Wisconsin Hospitals, Madison and by Dr. William H. Wolberg.

https://shahid-dhn.medium.com/deploying-breast-cancer-prediction-model-using-flask-apis-and-heroku-4fd3b65b2f26 https://medium.com/analytics-vidhya/building-ml-model-to-predict-whether-the-cancer-is-benign-or-malignant-on-breast-cancer-wisconsin-a09b6c32e7b8