svm_friction is a Python tool that performs data analysis, calculates, and predicts the coefficient of friction (COF) of open-cell AlSi10Mg-SiC composites, using support vector regression (SVR).

The "Gold Price Prediction" project focuses on predicting the prices of gold using machine learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn (sklearn), ...