Repositorio del proyecto de homogenización de series de Tiempo de Precipitación. Este trabajo se enmarca en la realización del trabajo fin de master del estudiante Nicolas Maldonado del Master en Ciencia de Datos de la Universidad de la Rioja, realizando la automatización de una guia desarrollada por la U. Distrital Francisco Jose de Caldas

A Python library for the fast symbolic approximation of time series

My Data Science Capstone Project presented to the panel from Academy Xi

Change-point detection and rate-monitoring for time-tagged event data using Bayesian Blocks (Scargle, 2013)

Exercises on Machine Learning

This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.

A unified framework for machine learning with time series

A toolkit for machine learning from time series

Self-supervised learning to boost time series classification models using a triplet loss mechanism.

Domain Foundation Models for Time Series Classification

Julia Package with SARIMA model implementation using JuMP.

Stock Screener to perform time-series analysis of NSE listed stocks in real-time and generate actionable trading signals.

Time Series Data Beans: a Python toolbox loads 169 public time-series datasets for machine learning/deep learning with a single line of code.

Материалы по курсам Эконометрика, Эконометрика-2, Анализ временных рядов, Анализ панельных данных в МГИМО МИД России

Highly comparative time-series analysis

Developed Interactive visualizations and a Shiny Dashboard using using R from a complicated and in-complete time-series dataset.

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

STUMPY is a powerful and scalable Python library for modern time series analysis

Time perception analysis for borderline personality disorder patients

Multivariate Data Analysis | Spring 2023