Breast Cancer Classification using Machine Learning
The Breast Cancer Detection with Neural Networks and Machine Learning project represents a pivotal advancement in medical diagnostics, specifically focusing on early detection of breast cancer. Employing a sophisticated blend of neural networks and machine learning algorithms.
A Breast Cancer Detection using Python involves utilizing machine learning techniques to analyze medical data and predict whether a given breast tumor is malignant (cancerous) or benign (non-cancerous).
There are different types of breast cancer, including ductal carcinoma in situ (DCIS), invasive ductal carcinoma, invasive lobular carcinoma, and others. The most common type is invasive ductal carcinoma, which begins in the milk ducts and can spread to other parts of the breast or even to other areas of the body.
Cancer Prediction using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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