Roadmap-for-regression-problems
A roadmap for regressions problems (feature selection, linear regressions, decissions tree, SVM, XGBoost, NN, PCA y NN, kernel PCA y NN, CNN (1D, 2D), synthetic data generation VAE's y SMOTE, custom loss functions, customs, activations, tensorflow tunner to find the best architecture)