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Predict heart disease presence using machine learning algorithms and the "Heart Disease UCI" dataset from Kaggle. Evaluate model performance to identify effective predictors for medical diagnosis.
Inductance and Resistance meter, Arduino based. Push button input. 3 tests, 4 resistor test ranges. One Inductance test, Analog input display , outputs to serial monitor and OLED. Resistor range is from 0 ohms to 2 Mohms , Inductor range is 80uH to 30,000uH.
Amazon product review sentiment analysis using Logistic Regression (LR), Support Vector Machine (SVM), and Naive Bayes (NB) multiclass as classifier models, Synthetic Minority Oversampling Technique (SMOTE) as feature oversampler, and TF-IDF vectorization as feature, Synthetic Minority Oversampling Technique (SMOTE) as oversampler, and k-fold CV.