Plan: To predict prices of stocks based sentiment and previous prices 5 models: Linear Regression Decision Trees (bagging and boosting) Random Forrests Support Vector Regressor Time Series Large dataframe with each row being a stock and model. Once you add the information,
There are several approaches to regression and classification problems that can boost performance over linear regression. Classification and regression trees (CART) involve segmenting the predictor space into a number of simple regions and our prediction involves using the mean of the training
What Is Pyspark? Apache Spark is a popular open-source framework that ensures data processing with lighting speed by distributing the workload among computers. The concept is that it is very expensive to buy and run a supercomputer, but it is much cheaper