Breast Cancer Prediction Using Neural Networks
تفاصيل العمل
Built a binary classification neural network from scratch to predict malignant vs. benign tumors using the Breast Cancer Wisconsin dataset. Performed data cleaning, preprocessing, feature standardization, and EDA Designed and implemented a neural network with ReLU (hidden layer) and Sigmoid (output layer) Implemented forward propagation, backpropagation, and gradient descent Evaluated performance using accuracy, precision, recall, F1-score, and confusion matrix Conducted hyperparameter tuning to optimize model performance Tools & Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn
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