Stock Market Price Prediction Using PyCaret

My attempt to predict the stock market future price using machine learning, PyCaret and the python programming language

Disclaimer: The material in this article is purely educational and should not be taken as professional investment advice. Invest at your own discretion. Some external links in this post are affiliated.

In this article, I will show you how I attempted to predict the stock market future price using machine learning, Pycaret and the python programming language! To do this I used data from the S&P500 which is usually a representative of the stock market. According to thebalance.com, “the S&P 500 is a stock market index that tracks the stocks of 500 large-cap U.S. companies. It represents the stock market’s performance by reporting the risks and returns of the biggest companies. Investors use it as the benchmark of the overall market, to which all other investments are compared.” But first let’s talk a little bit about Pycaret.

What Is PyCaret ?

PyCaret is an open-source machine learning python library that allows you to train and create unsupervised and supervised machine learning models with little code. It is basically a wrapper around other machine learning libraries and frameworks like XGBoost, scikit-learn, spaCy, Microsoft LightGBM, and many other machine…