Predictive analysis is the process of obtaining data from prevailing data collected. The general direction and recognizable patterns of data are identified and used for predictive purposes.The main objective of predictive analysis is cultivating predictive intelligence. It is one of the branches of advanced analysis. The working procedure of analysis is data collection, statistics and assignment. The examples of employing predictive analysis are:
The Gradient Boosted Model generates a prediction model which has an ensemble of different decision trees even before generalizing it.Read More
The Generalized Linear Model (GLM) is a complex alternative of the General Linear Model. It uses the latter model’s comparison of the results of variousRead More
Random Forest is possibly the most famous classification algorithm, competent in both regression and classification. It can perfectly analyse considerable volumes of data.
The most widely used predictive models are the forecast models that deal in metric value prediction, evaluating the numeric values from the historical data for new data based on the data that's available.
An extremely common, high-speed algorithm, K-means requires placing unlabeled data objects in separate groups based on similarities of the data character.Read More