bakht-zaman's Projects
Minimal examples of data structures and algorithms in Python
Anomaly detection related books, papers, videos, and toolboxes
A curated list of awesome mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
List of tools & datasets for anomaly detection on time-series data.
Config files for my GitHub profile.
Causal Inference and Discovery in Python by Packt Publishing
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.
A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
Implementing a ChatGPT-like LLM from scratch, step by step
Theoretical and Applied ML, a collection of Projects and Best Practice
š Sharing machine learning course / lecture notes.
šŗ Discover the latest machine learning / AI courses on YouTube.
EPFL Machine Learning Course, Fall 2021
Queen of Oak Bay - visualization/classification/prediction
MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection
Simulation of Global Maritime Traffic as a Network constrained by Route blockages
A course on Optimization Methods
EPFL Course - Optimization for Machine Learning - CS-439
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Python Data Structures and Algorithms, published by Packt
Files for Udemy Course on Algorithms and Data Structures
Keith Devlin's Introduction to Mathematical Thinking course on Coursera (2017 Spring)
All Algorithms implemented in Python
TODS: An Automated Time-series Outlier Detection System
Understanding Deep Learning - Simon J.D. Prince