Measuring Regression Errors with Python

time series regression error metrics python and scikit-learn

Evaluating performance is a crucial step in developing regression models. Because regression models return continuous outputs, such models allow for different gradations of right or wrong. Therefore, we measure the deviation between predictions and actual values in numerical terms. However, … Read more

Stock Market Prediction using Univariate Recurrent Neural Networks (RNN) with Python

stock market prediction python machine learning

Predicting the price of financial assets has fascinated researchers and analysts for many decades. While the traditional prediction methods of technical analysis and fundamental analysis are still widely used, interest is increasingly turning to machine-generated predictions based on deep learning. … Read more