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๐ŸŽ—๏ธ I have completed this Machine learning Project successfully with 98.24% accuracy which is great for this project. Now, I'm ready to deploy our ML model in the healthcare project. To get more accuracy, I trained all supervised classification algorithms. After training all algorithms, I found that Logistic Regression, Random Forest and XGBoost classifiers are given high accuracy than remain but we have chosen XGBoost.

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machine-learning numpy pandas matplotlib-pyplot seaborn-plots data-analysis scikit-learn-python

breast_cancer_detection's Introduction

Hi there, I'm Sujan ๐Ÿ’ฌ

GIF

Aspiring Programmer - Content Writer - MERN, Full Stack Developer - ML Enthusiast

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  • ๐ŸŒฑ I am currently learning more about backend development & machine learing.
  • ๐Ÿ“ Working on research papers related to electronics projects.
  • ๐Ÿฅ… 2024 Goals: Contribute to Open Source projects, Learn and Explore.
  • ๐Ÿค Iโ€™m looking to collaborate on Software Development Engineer.
  • โšก Fun fact: I love drawing and wondering at different places.

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