Cancer Genetics Study Using Data Analysis and Regression Modeling – A Python Project

Understanding the genetic basis of diseases can open doors to tailored treatments and personalized medicine. Furthermore, the interplay between genes, diseases, and external factors, such as demographics and other traits, can offer deeper insights into disease progression and outcomes. 

The objective is to understand how certain genes contribute to cancer risk and progression under different demographic and environmental conditions. This project aims not only to deepen our understanding of cancer genetics but also to contribute to personalized medicine approaches in oncology.

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