A compilation of all the projects and notebooks covering the fundamentals of data science and machine learning.
Tech stack: Python, NumPy, Pandas, Matplotlib, Tensorflow, Keras, PyTorch, Scikit-learn, SciPy
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
Feel free to click on any of the project folders to explore the notebooks! :)
Last updated: December 20, 2023