MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Machine learning algorithms play a crucial role in stock selection for price forecasting. However, predictive analytics is a complex process and algorithms are just one component. When implementing machine learning in the analytical pipeline, it’s important to take into account other factors, starting with data.

Detailed explanation-2: -The best machine learning algorithm for predicting stock prices are random forest, Naive Bayesian classifier, Support vector machine, K-nearest neighbor, and ARIMA.

Detailed explanation-3: -2.4 Future PE-EPS Method This method of predicting future price of a stock is based on a basic formula. The formula is shown above (P/E x EPS = Price). According to this formula, if we can accurately predict a stock’s future P/E and EPS, we will know its accurate future price.