Six Common Error Metrics for Measuring Regression Errors in Machine Learning
29 Apr 2020

Six Common Error Metrics for Measuring Regression Errors in Machine Learning

by | posted in: Cheat Sheets, Data Science, Measuring Regression Errors, Python, Time-Series-Forecasting | 0

This article presents six error metrics that are commonly used to measure regression errors in machine learning. Measuring errors is an important step in developing a predictive model and the basis for evaluating a model’s performance. However, a universal error … Continued

Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python
1 Apr 2020

Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python

by | posted in: Algorithms, Neural Networks, Python, Time-Series-Forecasting, Tutorials | 2

In a previous article on stock market forecasting, we have created a forecast for the S&P500 stock market index using a neural network and Python. The prediction interval used in this previous article was a single day. However, many time-series … Continued