Completed an introductory course on deep learning, focusing on neural networks, basic concepts, and hands-on model training using MATLAB. Developed understanding of deep learning concepts, including activation functions and layers. Learned to train and optimize deep learning models using real-world datasets. Enhanced proficiency in using MATLAB for deep learning tasks and model evaluation.

Gained foundational knowledge in machine learning algorithms, model training, evaluation, and applying MATLAB to real-world data scenarios. Gained understanding of key machine learning algorithms like classification and regression. Learned to train models and evaluate their performance using real-world data.