machine-learning
Breast Cancer Classification
2023
View SourceThis project involves data preprocessing, exploratory data analysis (EDA), and building a classification model to predict whether a breast tumor is malignant or benign.
A predictive model to classify the malignancy of breast cancer tumors using ultrasound images converted into mathematical features.
- This is the user interface of our web app to predict the malignancy of a breast cancer tumor.
This is a Machine Learning & Data Science Project that we will try to build a predicting model to classify the malignancy of a breast cancer tumor using ultrasound images converted to mathematical features. The model will use this related data of a particular tumor. Of course, we will have to clean the data & make a simple EDA to understand it more.
Key Features
- Web-based user interface for tumor classification
- Data cleaning and preprocessing
- Exploratory Data Analysis (EDA) with visualizations
- Machine Learning model for classification
- REST API integration for predictions
Achievements
- Developed an end-to-end ML pipeline for breast cancer classification with 97.07% accuracy.
- Created an interactive web app for real-time predictions
- Performed data preprocessing and feature extraction
- Implemented a REST API for model inference