Stock Market Price Prediction This repository contains code for predicting stock market prices using news articles from around the globe.
python >= 3.6
pandas
numpy
matplotlib
seaborn
scikit-learn
The model used for this project is a multi-layer perceptron classifier from the scikit-learn library. The headlines are processed using natural language processing techniques such as tokenization and stop-word removal. The processed data is then used to train the classifier.
The model was able to achieve an accuracy of approximately 57% on the test set. Further improvements can be made by using more advanced natural language processing techniques or by using a more complex machine learning model.