Data analysis on the Bangladesh share market using Machine-Learning

Abstract

The stock market plays an important role in the growth of industries by supplying funding. Thousands of Bangladeshis use the stock market as a means of employment. The stock markets in Bangladesh have been declining lately, impacting millions of individuals. What if stock markets could allow investors to know which stock is more reliable or less dependable. We will be using the Linear Regression algorithms along with the K-Nearest Neighbors algorithm, the Support Vector Machine (SVM), Lasso Regression and Multi-Linear Regression to predict the stocks.