Stock Price Prediction Using Machine Learning

• Tech Stack: pandas, numpy, scikit-learn, matplotlib, pyplot, sklearn
• Publication URL: Paper Link

A Machine Learning based project to predict Price of Nifty50 index by importing data directly from National Stock Exchange of India(NSEI) and applying various Machine Learning Algorithms to the data. Various libraries such as Pandas, Matplotlib, Scikit-learn and Numpy were used in the project. After training the Model with train data, the test data was used to test the model, where the model's prediction had an accuracy of 97.95%. Statistical metrics and performance evaluation was done after which prediction of values for the following month and year was generated along with a graph.