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Crypto & Stock Price Prediction and Forecasting Toolkit

Crypto & Stock Price Prediction and Forecasting Toolkit

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

Python Machine Learning LSTM Catboost XGBoost LGBM Random Forest Data Analysis Tkinter

Project Tags:

Data Analysis Finance Forecasting GUI

Category: Machine Learning

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