Trained mathematical models to predict stock price trends using Naive Bayes, LSTM, and Linear Regression Time Series algorithms.
Scripted the predictive stock price model and obtained a prediction accuracy of 90.07%
Conducted thorough data analysis and preprocessing to enhance the performance of the models by 20%, including feature engineering and handling missing data.