ALX Higher level programming projects are solutions to solve complex challenges
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Updated
Oct 4, 2023 - Python
ALX Higher level programming projects are solutions to solve complex challenges
A project to implement a subset of the functionality of Ruby's Enumerable.
Classification (Pattern Recognition) algorithm development with Bayesian, Anti-Bayesian, Decision Tree and Dependence Tree concepts. [IEMIS 2020, Springer AISC]
Developed a custom clustering algorithm to analyze wine data without traditional machine learning. The project standardizes features and employs mathematical formulas using NumPy to identify distinct clusters, offering insights into wine sample groupings and their characteristics.
Exploration of brain-inspired computing architectures through computational neuroscience models, focusing on point neuron dynamics and spiking neural networks (SNNs) using Nengo. Bridges concepts from neuroscience, computer science, and electrical engineering.
A curated collection of hands-on notebooks exploring core machine and deep learning concepts. Each notebook focuses on a specific topic - from linear models and foundational elements like broadcasting and autograd to advanced tasks such as custom layers, transfer learning, sequence modeling with RNNs, and representation learning with autoencoders.
A project showcasing a scheduling algorithm to optimize warehouse robot coordination for efficient product delivery and order fulfillment.
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