This project involves a comprehensive data analysis of stock market trends and performance. The analysis aims to uncover patterns, trends, and insights that can aid in making informed investment decisions. By leveraging various data analytics techniques, this project provides valuable visualizations and interpretations of stock market data.

A Python library for the fast symbolic approximation of time series

A unified framework for machine learning with time series

This is a repository for collecting papers and code in time series domain.

Code by @drasbaek and @MinaAlmasi for the exam in "Data Science, Prediction, and Forecasting" (F2024) at the Cognitive Science MSc.

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

A toolkit for machine learning from time series

Time based splits for cross validation

A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform

HiveMQ extension for transferring monitoring data to the time series database InfluxDB

HiveMQ extension for transferring monitoring data to Prometheus

Highly comparative time-series analysis

This repo use long-term series remote sensing image data obtained by LLR and LT for time series clustering and classification based on deep learning.

R + Time Series - Issues and Graphics

This project provides live water pressure measurements via a web dashboard running on a Raspberry Pi, logs the data, and creates time series forecasts of future water pressure.

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

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

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

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

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