Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
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Updated
Jun 2, 2024 - HTML
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Randomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecasting
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
Machine Learning & Statistical Learning
Teaching Materials for Dr. Waleed A. Yousef
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)
Distributionnally robust machine learning with Pytorch and Scikit-learn wrappers
Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf
EZAutoMate: Your AI-powered Car Sales Advisor
This repository is for the ICML'24 paper: "Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression"
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Practices and Lecture Notes (in Spanish) analysed through the Multivariate Analysis Course, using Python and R simulations under the professorship of Dr. Julio César Galindo López during semester 2024-I of the Undergraduate Actuarial Science Program.
Materials to support learning with my YouTube channel, https://www.youtube.com/c/EquitableEquations.
This the template of my webpage
Machine Learning with uncertainty quantification and interpretability
Miscellaneous statistical/machine learning stuff
Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)
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