Project information

• Project Date: August-December 2023
• Tech stack: Python, NumPy, Pandas, Matplotlib, Tensorflow, Keras, PyTorch, Scikit-learn, SciPy
• Project Repository: [Click here]

Outputs created during the Intelligent Systems class that cover the fundamentals and advanced techniques involving artificial intelligence (machine learning and deep learning)

Topics covered:
Multilayer perceptrons, normalization and standardization, autoencoders, convolutional neural networks, feature selection, SHAP, LIME, model selection and hyperparameter tuning, forest methods, clustering, UNET, inception model