The goal of any data science project is turning raw data into valuable insights for your company. This means detecting patterns that give accurate predictions, and, consequently, making better decisions. Let’s look at 6 of the most common problems data scientists face when gathering data to create machine learning models. Data problem #1: Unrepresentative samples […]
Category Archives: Data Analytics
29
May
May
Today, anyone with a basic computer can perform powerful data analysis and extract valuable insights without needing expensive, sophisticated equipment. With an average computer, you can, for example, use one of Python’s open-source libraries and perform linear or logistic regressions, time series analysis, or apply classical inferential statistics methods. These tasks are generally light […]