OSGeo/grass

GRASS - free and open-source geospatial processing engine

Language: C - Size: 339 MB - Last synced at: about 15 hours ago - Pushed at: about 15 hours ago - Stars: 909 - Forks: 352

reservoirpy/reservoirpy

A simple and flexible code for Reservoir Computing architectures like Echo State Networks

Language: Python - Size: 102 MB - Last synced at: 1 day ago - Pushed at: 17 days ago - Stars: 512 - Forks: 116

karrmagadgeteer2/NoteBook

A Jupyter Notebook to demo the openseries package.

Language: Jupyter Notebook - Size: 79.4 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

aws/amazon-finspace-examples

This repo contains sample code and sample notebooks to illustrate how to work with Amazon FinSpace

Language: Jupyter Notebook - Size: 219 MB - Last synced at: about 24 hours ago - Pushed at: 2 months ago - Stars: 21 - Forks: 24

fusedio/udfs

Public Fused UDFs. Build any scale workflows with the Fused Python SDK and Workbench webapp, and integrate them into your stack with the Fused Hosted API.

Language: Python - Size: 12.7 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 230 - Forks: 46

apache/horaedb

Apache HoraeDB (incubating) is a high-performance, distributed, cloud native time-series database.

Language: Rust - Size: 10.7 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 2,726 - Forks: 214

sculd/market_data

A project for ingesting, processing, and analyzing market data using Google BigQuery as data lake and pandas for data manipulation.

Language: Python - Size: 284 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

NetManAIOps/ChatTS

[VLDB' 25] ChatTS: Understanding, Chat, Reasoning about Time Series with TS-MLLM

Language: Python - Size: 3.51 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 41 - Forks: 6

statsmodels/statsmodels

Statsmodels: statistical modeling and econometrics in Python

Language: Python - Size: 53.1 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 10,582 - Forks: 3,257

tr8dr/tseries-patterns

trend / momentum and other patterns in financial timeseries

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: 3 days ago - Pushed at: almost 4 years ago - Stars: 262 - Forks: 74

omkarschool/inside-deep-learning

Inside deep learning, a repository to explain and apply deep learning concepts.

Size: 1.95 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

TheDatumOrg/kshape-python

Python implementation of k-Shape

Language: Python - Size: 33.1 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 343 - Forks: 107

microprediction/microprediction

If you can measure it, consider it predicted

Language: Jupyter Notebook - Size: 119 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 348 - Forks: 61

business-science/pytimetk

Time series easier, faster, more fun. Pytimetk.

Language: Python - Size: 218 MB - Last synced at: 9 days ago - Pushed at: 18 days ago - Stars: 849 - Forks: 71

qingsongedu/awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Size: 923 KB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 1,373 - Forks: 135

adrienpetralia/NILMFormer

NILMFormer: A Sequence-To-Sequence Non-Stationarity Aware Transformer for Non-Intrusive Load Monitoring

Language: Python - Size: 2.72 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

apache/horaedb-client-rs

Apache HoraeDB (Incubating) Rust Client.

Language: Rust - Size: 177 KB - Last synced at: 7 days ago - Pushed at: 9 months ago - Stars: 16 - Forks: 14

cuebook/CueObserve

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

Language: Python - Size: 6.15 MB - Last synced at: 11 days ago - Pushed at: about 3 years ago - Stars: 229 - Forks: 24

gaborvecsei/Stocks-Pattern-Analyzer

This tool should help discover different patterns based on similarity measures in historical (financial) data

Language: Python - Size: 1.12 MB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 235 - Forks: 83

vishal815/-Stock-market-Prediction-with-Machine-Learning-Django

Developed ML/DL based a web application for stock price prediction based on real-time data.

Language: Python - Size: 69.3 MB - Last synced at: 9 days ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 5

CharlesKZW/tsdistance

Comprehensive Python Library for Time Series Distance Measure

Language: Python - Size: 6.8 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 5 - Forks: 0

qingsongedu/time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

Size: 306 KB - Last synced at: 16 days ago - Pushed at: 9 months ago - Stars: 2,700 - Forks: 257

IBM/Environmental-Intelligence

IBM Environmental Intelligence

Language: Jupyter Notebook - Size: 274 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 12 - Forks: 45

apache/horaedb-client-go

Apache HoraeDB (Incubating) Golang Client.

Language: Go - Size: 93.8 KB - Last synced at: 3 days ago - Pushed at: 11 months ago - Stars: 6 - Forks: 11

databrickslabs/tempo

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Language: Jupyter Notebook - Size: 5.06 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 323 - Forks: 56

RohmanZauhari/Quantitative-Arbitrage

This repository showcases Pairs trading bot exploiting mean reversion in cointegrated assets. Fetches data, runs Engle-Granger tests, generates signals (Z-Score/Bollinger), and backtests results. A PyQt GUI provides interactive configuration and real-time visualization.

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

CaptorAB/openseries

openseries is a project with tools to analyze financial timeseries of a single asset or a group of assets. It is solely made for daily or less frequent data.

Language: Python - Size: 3.9 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 28 - Forks: 4

microprediction/timemachines

Predict time-series with one line of code.

Language: Python - Size: 6.08 MB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 422 - Forks: 54

rodluger/starry_process

interpretable gaussian processes for stellar light curves

Language: Python - Size: 130 MB - Last synced at: 7 days ago - Pushed at: 8 months ago - Stars: 17 - Forks: 5

ai-forever/no_flood_with_ai_aij2020

Материалы соревнования AI Journey 2020, посвященного прогнозированию паводков на реке Амур, https://ai-journey.ru/contest/task02

Language: Jupyter Notebook - Size: 138 MB - Last synced at: 1 day ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 7

matrix-profile-foundation/go-matrixprofile

golang library for computing matrix profiles along with other time series analysis features

Language: Go - Size: 3.22 MB - Last synced at: 21 days ago - Pushed at: almost 5 years ago - Stars: 90 - Forks: 10

Barathkalyan/GoldVision-price-predictor

GoldVision is a time series forecasting project that predicts gold price trends using Facebook Prophet. The project incorporates custom seasonality and advanced visualization techniques to provide accurate forecasts and insights.

Language: Python - Size: 75.2 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

AgrDataSci/climatrends

Climate Variability Indices for Ecological Modelling

Language: R - Size: 18.3 MB - Last synced at: 7 days ago - Pushed at: 12 months ago - Stars: 4 - Forks: 6

oonuroo/BitcoinARIMA

Forecasts Bitcoin prices over 6 months using different models integrating historical data, Google Trends, and on-chain metrics (0.28 correlation with active addresses) using R language.

Language: R - Size: 11.8 MB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MSD-IRIMAS/Elastic_Warping_Vis

Visualization of Elastic Warping of Time Series Data

Language: Python - Size: 1.97 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

target/matrixprofile-ts 📦

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

Language: Python - Size: 3.63 MB - Last synced at: 26 days ago - Pushed at: 9 months ago - Stars: 737 - Forks: 107

microprediction/timeseries-notebooks

Hello world univariate examples for a variety of time series packages.

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 1 day ago - Pushed at: 7 months ago - Stars: 56 - Forks: 26

JuBiotech/bletl

Parsing and data analysis with BioLector microbioreactor data.

Language: Jupyter Notebook - Size: 53.3 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 8 - Forks: 2

Hadar933/AdaptiveSpectrumLayer

Official PyTorch Implementation for the "A Deep Inverse-Mapping Model for a Flapping Robotic Wing" Paper (ICLR 2025)

Language: Python - Size: 36.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 1

jakimowb/eo-time-series-viewer

A QGIS Plugin to visualize raster time series in parallel.

Language: Python - Size: 29.7 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 7 - Forks: 0

apache/incubator-horaedb-meta 📦

Meta service of HoraeDB cluster.

Language: Go - Size: 949 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 27 - Forks: 15

hq969/Olympics-dataset-analysis

The Olympic Dataset Analysis project involves exploring and analyzing historical Olympic Games data, including athletes, countries, medals, sports, and event performance. Using data analytics and visualization techniques, this project uncovers patterns in Olympic history, top-performing countries, and athlete achievements.

Language: Jupyter Notebook - Size: 5.73 MB - Last synced at: 7 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

squey/squey

Squey is a visualization software designed to interactively explore and understand large amounts of tabular data (this is the read-only mirror of https://gitlab.com/squey/squey)

Language: C++ - Size: 94.7 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 22 - Forks: 2

iostream4YOU/Stock-market-Prediction-with-Machine-Learning-Django

Developed ML/DL based a web application for stock price prediction based on real-time data.

Language: Python - Size: 0 Bytes - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

apache/incubator-horaedb-proto

Apache HoraeDB (Incubating) Protocol Buffer Files

Language: Rust - Size: 528 KB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 7 - Forks: 18

Soumyadipta2020/forecasting_tool

Forecasting tool for Time-Series and Non-time series data

Language: R - Size: 2.18 MB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 1

Dipsingh/dipsingh.github.io Fork of barryclark/jekyll-now

My personal blog.

Language: HTML - Size: 111 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

colej/puffins

Tools for fitting a feature-embedded and weighted regression model to time series data.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

SebastianSchmidl/periodicity-detection

Detect dominant periodicity in equidistant time series

Language: Python - Size: 133 KB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 21 - Forks: 3

viniventur/TS-ICMS-Previsao

Utilizando Séries Temporais na Previsão de Arrecadação de ICMS para Alagoas no período de 2008 a 2021. Trabalho feito na matéria de econometria 2. Modelo usado: Suavização Exponencial de Holt-Winters.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

johannfaouzi/pyts-repro

A repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature

Language: Jupyter Notebook - Size: 50.8 KB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 3

apache/horaedb-docs

Apache HoraeDB (incubating) Website.

Language: HTML - Size: 17.4 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 7 - Forks: 27

bhanurana430/Time-Series

This repository is a collection of Jupyter notebooks where I explore and implement various time series analysis concepts. It is not a full-fledged project but rather a learning space where I experiment with different techniques and datasets to deepen my understanding of time series forecasting, decomposition, and modeling.

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Gapouliasis/anyFit

R Package for exploratory data analysis, timeseries analysis and visualisation of point and spatially distributed environmental variables

Language: HTML - Size: 105 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

JuliaDynamics/RecurrenceAnalysis.jl

Recurrence Quantification Analysis in Julia

Language: Julia - Size: 2.39 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 45 - Forks: 13

sa1Kr15hna/Stock-Price-Analysis-App

A Streamlit-based multi-page web app for stock data analysis using 'yfinance' library

Language: Python - Size: 3.09 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

TsLu1s/tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

Language: Python - Size: 256 KB - Last synced at: 9 days ago - Pushed at: 5 months ago - Stars: 28 - Forks: 1

numaproj/numalogic-prometheus

AIOps for metrics in Prometheus

Language: Python - Size: 1.38 MB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 35 - Forks: 10

Soumyadipta2020/time_series_visualization 📦

RShiny dashboard for Visualization & Forecasting of time series data

Language: R - Size: 101 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

sarincr/Time-series-analysis-using-Python

Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data.

Language: Jupyter Notebook - Size: 6.4 MB - Last synced at: 17 days ago - Pushed at: over 5 years ago - Stars: 33 - Forks: 27

hsbc/tslumen

A library for Time Series EDA (exploratory data analysis)

Language: Python - Size: 85.9 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 69 - Forks: 8

predict-idlab/GENDIS

Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.

Language: Jupyter Notebook - Size: 158 MB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 105 - Forks: 25

google/timecast 📦

Performant, composable online learning

Language: Python - Size: 84 KB - Last synced at: 5 days ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 4

30lm32/ml-projects

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Size: 65.8 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 268 - Forks: 110

INU-Capstone-ZEUS/.github

국내 주식 시장의 매수 타이밍 포착 웹서비스 홈 저장소

Size: 37.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

Shantanujpk/PowerBI-Car-Sales-Insight-Project-

The Car Sales Dashboard in Power BI provides an overview of car dealership sales performance. It enables stakeholders to track KPIs, identify trends, and make data-driven decisions. The project included data import, modeling, DAX formula creation, visualization, and optimization for effective insights

Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

kkartavenka/FastDtw.CSharp

FastDtw Implementation in C# focused on performance

Language: C# - Size: 105 KB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 13 - Forks: 1

siddhantborse/ATMOSVIZ

Atmos Viz is a Python-based project designed to analyze, visualize, and predict global temperature trends across various cities and countries using time-series analysis and advanced data science techniques. Leveraging historical climate data, this project integrates machine learning models, geospatial mapping, and interactive visualizations to unco

Language: HTML - Size: 12.1 MB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

questdb/time-series-streaming-analytics-template

Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science

Language: Jupyter Notebook - Size: 86.8 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 74 - Forks: 5

singlestore-labs/demo-realtime-digital-marketing

This application is a demo of how to use SingleStore to serve ads to users based on their behavior and realtime location.

Language: TypeScript - Size: 18.2 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 15

apache/horaedb-client-py

Apache HoraeDB (Incubating) Python Client.

Language: Rust - Size: 124 KB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 9 - Forks: 6

Chris-N-K/napari-time-series-plotter

A napari Plugin for visualisaton of pixel values over time (t+ nD) as graphs.

Language: Python - Size: 32.2 MB - Last synced at: 2 days ago - Pushed at: 12 months ago - Stars: 11 - Forks: 5

AVoss84/seasonal

R code for the paper 'Forecasting seasonal time series data: a Bayesian model averaging approach'

Language: R - Size: 43.9 KB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 2

george-j-zhu/timeseriesprocessing 📦

A lib for easier ML tasks

Language: Python - Size: 2.11 MB - Last synced at: 9 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Bokang-ctrl/Climate_Forecast

Using machine learning for climate temperature forecasting

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

zamanzadeh/ts-anomaly-benchmark

Time-Series Anomaly Detection Comprehensive Benchmark

Size: 527 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 113 - Forks: 22

GeoscienceAustralia/nhi-tsed

Extraction and analysis of weather station observations for thunderstorm events

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 17 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

vibhor98/Analysis-of-agricultural-trends-in-time-series-dataset

Analysis of key trends in the Agriculture sector in the Maharashtra state of India.

Language: Jupyter Notebook - Size: 3.45 MB - Last synced at: 12 days ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 4

camara94/tensorflow-sequences-time-series-and-prediction

In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specialization to build a sunspot prediction model using real-world data

Language: Jupyter Notebook - Size: 27.1 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 5

MFaizan18/AlphaQuantTrader

Experience the fusion of finance and artificial intelligence with this cutting-edge project that implements a deep reinforcement learning agent for automated stock trading. Leveraging advanced neural network architectures and a meticulously crafted reward function, the agent learns to make profitable trading decisions in a simulated environment

Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Mukhtar-is/Online-Retail-Project

Online Retail Exploratory Data Analysis with Python Project

Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

DidierRLopes/timeseries-cv

Time-Series Cross-Validation Module

Language: Jupyter Notebook - Size: 454 KB - Last synced at: 1 day ago - Pushed at: over 3 years ago - Stars: 44 - Forks: 10

Chebet-Mercy/Time-Series-Forecasting-Analysis

This project aims to develop a machine learning model to predict the optimal quantity of products that should be in stock across various store locations, leveraging historical sales data and advanced forecasting techniques.

Language: Jupyter Notebook - Size: 5.53 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

huseyincenik/data_science

Data Science materials

Language: Jupyter Notebook - Size: 53.1 MB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1

incheonQ/TimeSeriesAnalysis

This repository is dedicated to personal study and exploration of time series analysis techniques.

Language: Jupyter Notebook - Size: 372 KB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Yoonyoung-Cho/2019_5th_L.Point_Big_Data_Contest

2019.02.21 우수상 롯데그룹 온라인 쇼핑몰의 온라인 행동데이터를 이용하여 온라인 선호지수 및 주요 상품군별 수요트렌드 예측

Language: R - Size: 19.8 MB - Last synced at: 8 months ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

eugene-kamenev/tsmp4j

Time Series with Matrix Profile in Java

Language: Java - Size: 432 KB - Last synced at: 14 days ago - Pushed at: 8 months ago - Stars: 4 - Forks: 1

wfinsinger/tapas

Trend And PeAkS (TAPAS) analysis of temporal series (e.g. paleoecological records) to assess long-term trend and detect events (and eventually estimate event-return intervals)

Language: R - Size: 3.17 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 11 - Forks: 2

ilpomo/open-ta

Blazingly fast technical analysis indicators based on Polars.

Language: Python - Size: 2.65 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

apache/horaedb-client-java

Apache HoraeDB (Incubating) Java Client.

Language: Java - Size: 825 KB - Last synced at: 3 days ago - Pushed at: 8 months ago - Stars: 21 - Forks: 12

sachinML/Stock-Price-Analysis

Analyzing stock prices of the world-leading 4 MNCs.

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

kyaiooiayk/TimeSeries-Notes

Notes, tutorials, code snippets and templates focused on Time Series for Machine Learning

Language: Jupyter Notebook - Size: 26.9 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 1

Priyanshu501/Data_Science_Practice

Practice Assignments for Data Science Coursework

Language: Jupyter Notebook - Size: 31.8 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

kashifmughal05/Analyzing_Historical_Stock-Revenue_Data_and_Building_a_Dashboard

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

SicongLiu/RMT-2.0 Fork of Spoccia/RMT-2.0

RMT initial commit

Language: HTML - Size: 87.3 MB - Last synced at: 9 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0

earthgecko/skyline

Anomaly detection

Language: Python - Size: 26.8 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 535 - Forks: 63

Git-With-Chris/SunspotAnalysis

Analysis of global sunspot numbers spanning from 1700 to 2023, featuring forecasts derived using a SARIMA model

Language: R - Size: 27 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

EdoardoChidichimo/HyperIT

Information-theoretic social neuroscience analyses, particularly for hyperscanning paradigms

Language: Jupyter Notebook - Size: 32.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

andrea3425/spotify_growth_analysis_time_series_forecasting

This project analyzes the growth of an emerging artist on Spotify, examining data from January 2021 to October 2023. We explore key factors such as streams, playlist reach, and follower counts using time series forecasting m

Language: R - Size: 1.79 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 1

shuhanwang1012/Time-Series-Analysis-and-Forecasting-on-Fashion-Trend

This study predicts the resurgence of leather jackets using Google Trends data and various forecasting models. Forecasts indicate a significant surge in demand from November 2023 to January 2024, providing strategic insights for fashion brands and influencers to maximize revenue opportunities.

Size: 17.5 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0