TarachaR/Regression-Analysis-of-Cancer-Prevention-Strategies-Implemented-by-the-African-Cancer-Institute

This repository is dedicated to exploring the use of Multiple Linear Regression for the purpose of predicting mortality rates as represented by the "TARGET_deathRate" variable. # Cancer Prevention-Regression Analysis (The African Cancer Institute) --- > **Author:** Richard Taracha > **Date:** 07/02/2021 > **Web Application:** Click Me! --> --- > ### Table of Contents - Background Information - Understanding The Context - Project Deliverable - Recording the Experimental Design --- > ## Background Information The African Cancer Institute at Stellenbosch University aims to contribute to improving cancer prevention (both primary and secondary prevention, including screening), diagnosis and management in Africa. The institute is a coordinating and directive institution for research and training in the field of cancer within the University. Website: aci.org.za --- > ## Understanding The Context As a Data Scientist working for the institution you have been tasked to identify factors that contribute to the death rate of cancer patients using collected dataset. In addition, you have also been requested to build a multiple linear regression model to predict the death rate - **"TARGET_deathRate"**. You will be required to check for the assumptions of your model as well as perform k-fold (k=10) cross-validation while challenging your solution. #### Technologies and Tools: Python, Pandas, Numpy, Matplotlib, Scikit-Learn Back to top --- > ## Project Deliverable Deliverable is a Python notebook with the Regression Analysis. **Dataset URL:** bit.ly **Dataset Glossary Download Link:** bit.ly Dataset Attributes: | Column number | Column Name | Column Type | Description | | --- | --- | --- | --- | | 0 | avganncount | decimal | Mean number of reported cases of cancer diagnosed annually (a) | | 1 | avgdeathsperyear | integer | Mean number of reported mortalities due to cancer (a) | | 2 | target_deathrate | decimal | Dependent variable. Mean per capita (100,000) cancer mortalities (a) | | 3 | incidencerate | decimal | Mean per capita (100,000) cancer diagnoses (a) | | 4 | medi …