Forecasting Stock Prices With Deep Learning
In the realm of data science and predictive modeling, developing effective models involves a series of strategic steps.
It starts with establishing a Baseline Model, providing a starting benchmark for comparison. The journey then advances to the ARIMA model, adept at time-series forecasting, followed by Sentiment Analysis, which interprets human emotions from textual data.
Next is Feature Selection with XGBoost, focusing on identifying the most impactful features. This le…