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In this video, Bitcoin Prediction For 2023* we will predict the bitcoin price with the help of python and machine learning. By the end of this tutorial, you guys will have a clear understanding of the LSTM model and how python and machine learning is used for prediction.
✅ 00:00 Bitcoin Prediction For 2023
✅ 01:36 Hands-on lab demo
Seaborn:
An open-source Python library based on matplotlib is called Seaborn. It is utilized for data exploration and data visualization. With data frames and the Pandas library, Seaborn functions with ease.
Matplotlib:
For Python and its numerical extension NumPy, Matplotlib is a cross-platform data visualization and graphical charting package. As a result, it presentsa strongg open source for MATLAB. The APIs (Application Programming Interfaces) for matplotliballowsw programmers to incorporate graphs into GUI applications.
LSTM stands for the Long short-term memory layer, which was created in 1997. This layer uses available constraints and runtime hardware to gain the most optimized performance where we can choose the various implementation that is pure TensorFlow or cuDNN based.
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