Uzun Kısa-Süreli Bellek ile Kripto Para Fiyatlarının Tahmini

Since the 1950s a discipline called ‘Artificial Intelligence’ has been gaining significant popularity. The curiosity about creating computers that can think and produce information like human beings allowed scientists computer engineers to contribute this field. Many components such as robots, softwares algorithms have produced due purpose. Like various disciplines, Artificial Intelligence branched into several sub-disciplines. One of these branches is named ‘Machine Learning’. Machine Learning different types sub-branches Supervised Learning, Unsupervised Deep Learning. main technique used in study. ability cope with complex situations allows models be application areas widespread. Predicting cryptocurrency prices counted one applications. Because investors’ desire observe trend reduce investment risk using an effective method becoming crucial. For purpose, we created Long Short-Term Memory which type appropriate parameters via Python programming language. dataset feed model was obtained from internet. After running algorithm dataset, validity calculated by statistical tool Mean Square Error. To visualize effectiveness model’s output, language library known Matplotlib chosen. Also, after reviewing results required interpretations future studies will explained us Conclusion chapter.