Overview
A Python-based toolkit developed to predict and forecast cryptocurrency and stock prices using various machine learning models such as LSTM, Catboost, XGBoost, LGBM, and Random Forest.
Technologies: Python, Machine Learning, LSTM, Catboost, XGBoost, LGBM, Random Forest, Data Analysis, Tkinter
Project Tags: