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6 best Java Predictive Analytics libraries in 2022

by Open Weaver kits ✔

Predictive analytics is crucial in the world of data science. It is an important concept that have the ability to analyze data, apply statistics and machine learning algorithms, and create predictive models that are used to make predictions. Java is a general purpose programming language, it has been used for many kinds of software development. Predictive analytics is an area of data science that deals with extracting information from data and using it to predict trends and behavior patterns. It is often associated with big data, but it can also be applied to small data sets. Predictive analytics uses statistical techniques from data mining, predictive modeling, artificial intelligence, machine learning and other advanced analytics technologies to analyze current data to make predictions about future events. Popular Java Predictive Analytics open source libraries among developers include: redux-java - java version of Redux : a predictable state container; xgboost-predictor-java - Pure Java implementation of XGBoost predictor; KalmanLocationManager - Android LocationManager that delivers location predictions based.