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This notebook tackles predicting future movements from skeleton data, crucial for applications like fall detection or gesture recognition. Leveraging deep learning, it preprocesses the dataset, trains a CNN model, evaluates its accuracy, and generates predictions for submission, all in a structured manner.

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Jupyter Notebook 100.00%

deep-learning sequential-models time-series

predicting-future-movements-from-skeleton-data's Introduction

Hi 👋, I'm Suraj Varma

An enthusiastic individual with a strong interest in the field of Data Science.

🌱 I'm delving into the realms of Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
👨‍💻 Portfolio: Portfolios
💬 Having conversations about AI project is something I truly find rewarding.
📫 How to reach me: [email protected]

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