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A curated collection of books, notes, and resources focused on mathematical foundations for machine learning, covering linear algebra, calculus, and probability. Includes summaries, practice problems, and references to enhance understanding for ML practitioners.

Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and sensing capabilities, a plethora of new location-based services and applications are available for the users at any time and everywhere. Understanding human mobi... Read more

A collection of machine learning models for vision optimized for NXP products

A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).

A collection of Machine Learning lab programs implemented in Python (Jupyter Notebook) covering fundamental supervised and unsupervised learning algorithms, search algorithms, and neural network concepts.

A collection of deep learning projects implemented in Python, focusing on neural networks, computer vision, and NLP using frameworks like TensorFlow and PyTorch. Includes practical examples, datasets, and tutorials for building and evaluating advanced machine learning models.

A collection of notebooks of my Machine Learning class written in python 3

The Soccer Predictor a is an advanced machine learning pipeline designed to forecast football match outcomes with high accuracy. By leveraging a combination of ensemble learning techniques and neural networks, the system integrates data collection, feature engineering, and prediction models to de... Read more

Collection of Machine Learning Examples for Azure Databricks

Collection of red machine learning projects