DUCKQUANT / THE QUANT & AI DIRECTORY
1,177 resources, ranked by in-directory PageRank
Lecture notes and code for Machine Learning practical course on CMC MSU
Public repository by laiguokun.
Code for the online course "Deployment of Machine Learning Models"
A Course in Machine Learning
Public repository for course materials for the Data Science at Scale Specialization at Coursera
A machine learning course using Python, Jupyter Notebooks, and OpenML
Data Science Course in a Box
Resources for working with time series and sequence data
General Assembly's Data Science course in Washington, DC
Simple algorithmic stock and option trading for Node.js.
Parent module to include active modules
HyperCube is a revolutionary, high-performance decentralized computing platform. HyperCube has powerful computing capabilities to provide high-performance…
Avellaneda-Stoikov HFT market making algorithm implementation
Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook
Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
A Deep Graph-based Toolbox for Fraud Detection
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating…
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
code and data for the time series analysis vids on my YouTube channel
General Assembly's Data Science course in Washington, DC
Public repo for the 365 Data Science ML Process Course
machine learning course programming exercise
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
An Integrated Experimental Platform for time series data anomaly detection.
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
Lightweight KVO-based data binding options.
Algorithm implementations and homework solutions for the Stanford's online courses
Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.
The code from the Machine Learning Bookcamp book
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
Machine learning course materials.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
A distributed system designed to ingest and process time series data
Graph Machine Learning course, Xavier Bresson, 2023
