TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf
-
Updated
Jun 7, 2024 - Shell
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods (PVLDB 2024) https://arxiv.org/pdf/2403.20150.pdf
Distributionally robust machine learning with Pytorch and Scikit-learn wrappers
Machine Learning with Python
Streamline a data analysis process
This project aims to predict heart failure outcomes by applying statistical learning algorithms. The goal is to improve the prediction accuracy through the SuperLearner algorithm.
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
EZAutoMate: Your AI-powered Car Sales Advisor
This repository contains a companion guide to Harvey Motulsky's Intuitive Biostatistics, 4th edition. The guide is designed to enhance understanding of the concepts explained in the book by providing practical examples and additional studies in a Jupyter-book format. (work in progress)
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Descriptive Statistics and Probability Distributionsの日本語版リポジトリ Japanese version of a published repository "Descriptive Statistics and Probability Distributions"
Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
Randomized and quasi-randomized nnetworks for supervised learning and multivariate time series forecasting
Machine Learning & Statistical Learning
Teaching Materials for Dr. Waleed A. Yousef
Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)
Analysis of student performances of the Open University Learning Analytics dataset by using logistic regression and various classifiers.
This repository is for the ICML'24 paper: "Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression"
Materials to support learning with my YouTube channel, https://www.youtube.com/c/EquitableEquations.
Add a description, image, and links to the statistical-learning topic page so that developers can more easily learn about it.
To associate your repository with the statistical-learning topic, visit your repo's landing page and select "manage topics."