Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future. With the rapid growth of data science and technologies, predictive analytics is becoming a much more common solution to problems in many industries. It uses algorithms to analyze current and historical data to help businesses make decisions about their future. The goal is to find patterns in the data and create a model that can use to make predictions. Some of the most widely used C# Predictive Analytics open source libraries among developers include: UnityLockstep - Modern Lockstep with clientside prediction and rollback; Punchkeyboard - opensource keyboard for virtual reality; KSPTrajectories - Kerbal Space Program mod to display trajectory predictions.
C# 244 Version:Current License: Permissive (MIT)
C# 138 Version:v2.4.3 License: Strong Copyleft (GPL-3.0)