Stock Market Price Analysis
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.
Like this project
0
Posted Feb 25, 2024
Created powerful stock price prediction models with Naive Bayes, LSTM, and Linear Regression Time Series algorithms, achieving an accuracy of 90.07%. Enhanced
Algorithm Optimization for Data Processing
AWS Implementation for Scalable Web Applications
CurioMind - Course Selling E-Commerce