Stock Market Forecasting in R – Logarithmic model using EuStockMarket dataset Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is a logarithmic model, which is a type of mathematical model that assumes that the …
Day: December 31, 2019
Stock Market Forecasting in R – Polynomial Order 2 model using EuStockMarket dataset Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is a polynomial model of order 2, which is a type of mathematical model …
Stock Market Forecasting in R – Linear model using EuStockMarket dataset Stock market forecasting is the process of using historical data and statistical models to predict future movements of stock prices. One of the methods for stock market forecasting is a linear model. A linear model is a type of mathematical model that assumes …
Stock Market Forecasting in Python – MLP model using EuStockMarket dataset In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: Stock Market Forecasting in Python – LSTM model using EuStockMarket dataset. Forecasting is …