Machine/Deep Learning metrics implementation in python

Backtesting trading strategy performances between actual market returns, a dual moving average crossover strategy and support vector machines

The current repository contains ml works that were completed on the course and independently. These include the use of the most popular methods for solving forecasting problems (linear regression, polynomial regression, regression with L1 and L2 regularization), classification (k-nearest neighbor method, decision trees, naive Bayesian classifier…