Code for classifying hand-sign image dataset using a supervised learning approach: Neural Network with some technique to improve the accuracy metric.
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Updated
May 31, 2024 - Python
Code for classifying hand-sign image dataset using a supervised learning approach: Neural Network with some technique to improve the accuracy metric.
This project involves developing a Traffic Sign Detection and Recognition system using a deep learning model built with Keras. Its goal is interpreting traffic signs in real-time.
Deep Learning
End-to-end time series forecasting using both Machine Learning and Deep Learning models. Includes data preprocessing, EDA, feature scaling, and performance evaluation on real-world datasets.
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