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A machine learning project that predicts the likelihood of a heart attack using Logistic Regression and Gaussian Naive Bayes. The models are trained on the Cleveland Heart Disease dataset using 14 …
Built an end-to-end supervised ML pipeline using KNN, Logistic Regression and Naive Bayes to predict loan approval. Implemented Binary Classification along with EDA, feature engineering & model eva…
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