GitHub topics: timeseries-forecasting

shettyprasadgithub076/ML-DL-Based-Decision-Support-System-for-Second-Hand-Vehicle-Pricing-and-Company-Level-Sales-Forecast

This project is a decision support system for vehicle pricing and sales forecasting, utilizing machine learning and deep learning techniques. The system provides various functionalities such as extracting information about motorcycles and electric vehicles, predicting sell/buy prices, and forecasting annual sales.

Language: Jupyter Notebook - Size: 523 KB - Last synced at: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

Nikolexx/AI-Trading-Bot-From-Data-to-Money

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 17.5 MB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 2 - Forks: 1

withing-100un/AI-Trading-Bot-From-Data-to-Money

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 0 Bytes - Last synced at: about 16 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

Sankor-howlader/Meal-Explorer

Meal Explorer is a user-friendly web app that helps you find and explore a wide range of recipes using the free Meal API. 🍽️ With a clean interface and easy navigation, you can quickly browse through delicious meal options. 💻

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phlam-econometrics/Forecasting-GDPGrowthRate-of-Malaysia-with-Bayesian-TimeSeries-Approaches

Forecasting GDP Growth Rate of Malaysia with Bayesian Time Series Approaches: From 2025 Q2 to 2027 Q4

Size: 302 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

sktime/pytorch-forecasting

Time series forecasting with PyTorch

Language: Python - Size: 37.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4,343 - Forks: 685

IBM/granite-workshop

Source code for the IBM Granite AI Model Workshop

Language: Jupyter Notebook - Size: 5.51 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 28 - Forks: 24

ibm-granite-community/granite-timeseries-workshop

A workshop for the Granite Time Series models

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 2

felipeangelimvieira/prophetverse

A multiverse of Prophet models for timeseries

Language: Python - Size: 85.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 52 - Forks: 9

reservoirpy/reservoirpy

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

Language: Python - Size: 103 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 533 - Forks: 122

microprediction/microprediction

If you can measure it, consider it predicted

Language: Jupyter Notebook - Size: 119 MB - Last synced at: 4 days ago - Pushed at: 8 days ago - Stars: 351 - Forks: 61

Lahdhirim/sales_prediction_tool Fork of rkhquod/Quod_THA

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time-series-foundation-models/lag-llama

Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Language: Python - Size: 259 KB - Last synced at: 11 days ago - Pushed at: 17 days ago - Stars: 1,451 - Forks: 176

Soumyadipta2020/forecasting_tool

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

Language: R - Size: 2.18 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 4 - Forks: 1

Anusha-me/Bitcoin_dual-perspective_forecasting

Forecasting Bitcoin prices (2017–2024) using LSTM under a stock perspective. Real-time price comparison, hyperparameter tuning, and outlier handling included.

Language: Jupyter Notebook - Size: 842 KB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

reservoirpy/reservoirR

Experimental R interface for ReservoirPy

Language: R - Size: 388 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 6 - Forks: 2

ai-on-browser/ai-on-browser.github.io

Machine learning and data analysis package implemented in JavaScript and its online demo.

Language: JavaScript - Size: 22.1 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 16 - Forks: 3

attila-balint-kul/energy-forecast-benchmark-toolkit

Energy Forecast Benchmark Toolkit is a Python project that aims to provide common tools to benchmark forecast models.

Language: Jupyter Notebook - Size: 5.46 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 15 - Forks: 5

phlam-econometrics/ForecastingGDPGrowth_TimeSeries

Forecasting GDP Growth Rate of Malaysia: From 2025 Q2 to 2027 Q4

Size: 188 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

ateistapln7/AI-Trading-Bot-From-Data-to-Money

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 0 Bytes - Last synced at: 16 days ago - Pushed at: 16 days 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: 17 days ago - Pushed at: about 1 month ago - Stars: 90 - Forks: 14

cuddlies42/AI-Trading-Bot-From-Data-to-Money-rg7

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 3.91 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

ghurault/EczemaPred

R package providing models to serve as building blocks for predicting eczema severity

Language: R - Size: 28 MB - Last synced at: 3 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 1

TochusC/windpower-forecast-system

[2024中国软件杯国家三等奖]TCN+LSTM+MLP实时风电预测网站。Realtime windpower forecast web system.

Language: Vue - Size: 40.3 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 12 - Forks: 1

Jimmy-7664/STD-MAE

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Language: Python - Size: 380 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 203 - Forks: 18

pawarbi/blog

PawarBI

Language: Jupyter Notebook - Size: 75 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 31 - Forks: 12

microsoft/FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Language: Jupyter Notebook - Size: 206 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 4,138 - Forks: 535

Adeleye-Emmanuel/Winton-Stock-Market-Challenge

Developed a machine learning model for predicting intraday and interday stock returns on winton historical return dataset with a focus on feature engineering and volatility analysis investigating return patterns & volatility

Language: Jupyter Notebook - Size: 3.87 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

jananikolovska/LLMinStockPrediction

In this project, I explore the use of Large Language Models (LLMs) for time series forecasting, focusing on the task of stock market prediction.

Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

bludmoon468/AI-Trading-Bot-From-Data-to-Money

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 3.91 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ingramm-bloodblade/AI-Trading-Bot-From-Data-to-Money

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

business-science/modeltime

Modeltime unlocks time series forecast models and machine learning in one framework

Language: R - Size: 56.8 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 554 - Forks: 83

remigenet/TKAN

TKAN: Temporal Kolmogorov-Arnold Networks

Language: Python - Size: 56 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 206 - Forks: 29

midas-ylik/AI-Trading-Bot-From-Data-to-Money-jx

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

netop-team/gotsf

This repository contains the official implementation of the paper: Goal-Oriented Time-Series Forecasting: Foundation Framework Design

Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

microprediction/timemachines

Predict time-series with one line of code.

Language: Python - Size: 6.08 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 423 - Forks: 53

LasithaAmarasinghe/Freezer-Gambit-Data-Crunch

This project aims to develop a time series forecasting system for predicting weekly fresh prices of vegetables and fruits in the Agrovia kingdom.

Language: Jupyter Notebook - Size: 55.6 MB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

Akash-Dutta07/Jp_Morgan_Virtual_Intership

Completed Tasks 1 & 2 of J.P. Morgan’s Quantitative Finance Virtual Internship (Forage), focusing on time series forecasting of natural gas prices using SARIMA and building a prototype pricing model for gas storage contracts using financial simulation techniques.

Language: Jupyter Notebook - Size: 392 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

mahnoorsheikh16/Credit-Card-Default-Prediction

This project focuses on predicting whether a customer will default on their credit card payment in the upcoming month. Utilizing historical transaction data and customer demographics, the project employs various machine learning algorithms to distinguish between risky and non-risky customers for better credit risk management.

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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: about 1 month ago - Pushed at: about 1 year ago - Stars: 1,410 - Forks: 138

dilettagoglia/Signal-Processing

🔁Graphical models, Recurrent Neural Networks and SIFT algorithm for image processing, signal analysis and timeseries forecasting (MD Course: Intelligent Systems for Pattern Recognition)

Language: Python - Size: 7.08 MB - Last synced at: 4 days ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0

salma2vec/Stock_Price-Financial_Analysis_ARIMA

Stock Price Prediction & Financial Analysis using ARIMA model

Language: Jupyter Notebook - Size: 894 KB - Last synced at: 4 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

remigenet/TKAT

Temporal Kolmogorov-Arnold Transformer

Language: Jupyter Notebook - Size: 206 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 80 - Forks: 13

FatherMonkey916/AI-Trading-Bot-From-Data-to-Money

An automated crypto trading system designed to operate on the Bitget exchange. It fetches real-time market data, applies predictive analytics using a pretrained neural forecast model, and executes buy/sell or exit strategies based on intelligent signal generation.

Size: 17.6 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 1

Jxgamessi/STOCK-PRICE-PREDICTION-USING-LSTM-AND-RNN

This project builds an interactive Streamlit app for stock price forecasting. It uses an ensemble of Stacked LSTM and Simple RNN models trained on user-uploaded Excel datasets. The app visualizes Bollinger Bands, model performance, and predicts the next day's stock price, offering clear insights with real-time charts and accuracy metrics.

Language: Python - Size: 848 KB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

RenatoMaynard/Time-series-forecasting-methods

Time Series Forecasting Methods — A collection of Python implementations for essential time series forecasting techniques, including Simple, Double, Triple Exponential Smoothing, and Moving Averages.

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 18 - Forks: 0

MLwithSree/Bitcoin-Price-Analysis

A data analysis and forecasting project on bitcoin price trends using Python and Machine Learning.

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sangampaudel530/Comprehensive-Analysis-and-Forecasting-of-Air-Quality-in-Kathmandu

This project analyzes air quality trends in Kathmandu, Nepal, using machine learning and time-series forecasting. It predicts AQI levels in real time using Random Forest and forecasts future pollution levels (24/48/72 hours) with Facebook Prophet. An interactive Streamlit dashboard allows users to visualize trends and forecast AQI

Language: Jupyter Notebook - Size: 9.32 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1

ArpitaSatsangi/Time-Series-Forecasting-for-Energy-Consumption

A Time Series Approach for Predicting Hourly Consumption Using XGBoost. This project explores patterns in energy consumption through feature-rich time series forecasting, providing accurate predictions and insights.

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

Aryan22163/Stock_price_prediction

Stock price forecasting using Facebook Prophet and time series analysis techniques.

Language: Jupyter Notebook - Size: 514 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: over 3 years ago - Stars: 229 - Forks: 24

shr6dha/Interactive-Time-Series-Analysis-Forecasting-R-Shiny-App

Interactive Time Series Analysis & Forecasting – R Shiny App

Language: R - Size: 6.84 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aprbw/traffic_prediction

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Language: TeX - Size: 685 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 288 - Forks: 46

Ruchitaphalak/data-science-journey

Data Science Experiments, my data journey

Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

srusam/Applied-Data-Science-

This repository contains hands-on Jupyter notebooks for Applied Data Science concepts, experiments, and projects. The notebooks cover data cleaning, visualization, feature engineering, machine learning, and more, using Google Colab for execution.

Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 7

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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jzaragosa06/univariate_ts_forecast

Using Large Language Model (Gemini-Pro) to Provide Context-Specific Explanation to Time Series Forecast

Language: HTML - Size: 21.5 KB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

lucaderi/HoltWinters

Holt-Winters Timeseries Forecast

Language: Python - Size: 1.65 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Homaei/DigitalTwin-Water-ML

The DigitalTwin-Water-ML repository uses AI/ML to forecast water consumption and detect leakages using data from digital twins of villages. It employs LSTM and Prophet models for time-series forecasting, processing both historical and real-time data.

Language: Jupyter Notebook - Size: 8.77 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

AnirudhMadhigiriGopinath/Projects

Data Science Projects

Language: Jupyter Notebook - Size: 65.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

heshanera/LSTMnet

A Long Short Term Memory neural network for time series prediction. Memory blocks contain one memory cell in each. Weights for the network are randomly initialized.

Language: C++ - Size: 1.79 MB - Last synced at: 2 months ago - Pushed at: almost 7 years ago - Stars: 15 - Forks: 6

fcrlab-unime/fl-cpu-utilization-prediction

Resource management forecasting in Federated Learning

Language: Python - Size: 2.08 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

mamei16/PyPSF

Python implementation of the Pattern Sequence Based Forecasting (PSF) algorithm

Language: Python - Size: 239 KB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

ShottzHT/Healthcare-Analysis

Analyze healthcare data to identify key trends, risk factors, and actionable insights using Tableau dashboards and Python preprocessing. Enhance healthcare decision-making with interactive visualizations and data-driven approaches.

Size: 1.95 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AdeboyeML/Timeseries_Analysis_Forecast_UK_Road_Traffic_Accident

This projects entails performing in-depth descriptive analysis and data visualization on United Kingdom Road Traffic and Accident dataset and also Forecasting/Predicting the rate of accidents in UK for the next 2 years.

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 10 days ago - Pushed at: almost 5 years ago - Stars: 12 - Forks: 6

18140033613/PCA-kmeans-TFT-time-series-clustering-and-prediction

This repository contains code and sample data related to the title "InSAR time series clustering and Landslide display prediction with multiple variables and time series: A case study of the Badui area in Eastern Tibet", mainly focusing on clustering and prediction of time series.

Language: Jupyter Notebook - Size: 51.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 0

cerlymarco/tspiral

A python package for time series forecasting with scikit-learn estimators.

Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 161 - Forks: 19

oracle-samples/automlx

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

Size: 14.6 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 28 - Forks: 5

JackTheProgrammer/Time-Series-Forecasting-and-Analysis

My personal project consisting of my personally created notebooks to work with time series forecasting and analysis. In these projects, I've used deep learning using tensorflow, xgboost, statsmodels and scipy libraries of python. The series were of weather, energy consumption and that of stocks.

Language: Jupyter Notebook - Size: 21.6 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

khairulislam/Timeseries-ML

Machine Learning for Timeseries Data

Language: Jupyter Notebook - Size: 17.6 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

weifantt/DEPTS

Language: Python - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 41 - Forks: 7

aravinda-1402/Store-Demand-Forecasting-using-Time-Series-and-Neural-Networks

The primary objective of this project is to develop a cutting-edge forecasting model utilizing advanced machine-learning algorithms and sophisticated time-series analysis techniques. The model aims to deliver precise predictions of future sales across diverse retail outlets.

Language: Jupyter Notebook - Size: 82 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 1

UVA-MLSys/Financial-Time-Series

Time series models (Transformer, Foundation Models) for Financial data

Language: Jupyter Notebook - Size: 776 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 2

TsLu1s/tsforecasting

TSForecasting: Automated Time Series Forecasting Framework

Language: Python - Size: 256 KB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 28 - Forks: 1

citrawanim25/timeseries-GSTAR

Modelling and predicting the price fluctuations of broiler eggs in East Java, especially in Kediri, Blitar, and Malang, using the Generalised Space Time Autoregressive (GSTAR) approach. With daily data from January to August 2024, the normalised cross-correlation weighted GSTARI(2,1)1 model shows high accuracy.

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

BirchKwok/spinesTS 📦

spinesTS, a powerful toolset for time series prediction, is one of the cornerstones of PipelineTS.

Language: Python - Size: 44.2 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 46 - Forks: 9

RobotPsychologist/bg_control

Improving short-term prandial blood glucose outcomes for people with type 1 diabetes, a complex disease that affects nearly 10 million people worldwide. We aim to leverage semi-supervised learning to identify unlabelled meals in time-series blood glucose data, develop meal-scoring functions, and explore causal machine-learning techniques.

Language: Jupyter Notebook - Size: 324 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 17 - Forks: 42

abu14/Energy_Consumption_Time_Series_Prediction

PJM Interconnection LLC manages the hourly energy consumption data (in megawatts) for various U.S. regions. This dataset offers opportunities to build predictive models, analyze consumption trends by time and season, and explore variations between summer and winter patterns.

Language: Jupyter Notebook - Size: 1.95 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Mushfiqur-Rahman-Robin/Learn-Implement-Predict

This repo contains some of the small projects during my learning process.

Language: HTML - Size: 291 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

praveensatyarv/uk_flights_anomaly_detection

This project uses Prophet model to detect anomalies in the UK flight numbers. Early detection can help the stakeholders in better decision making and resource management.

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

Soumyadipta2020/time_series_visualization 📦

RShiny dashboard for Visualization & Forecasting of time series data

Language: R - Size: 101 KB - Last synced at: 3 months ago - Pushed at: 9 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: 3 months ago - Pushed at: over 5 years ago - Stars: 33 - Forks: 27

AyushAI/NextEra-Supplies-A-Business-Analytical-Case-Study

This project demonstrates an end-to-end data analytics workflow for NextEra Supplies, combining MySQL for database management, Power BI for dynamic visualization, and Python for data exploration preprocessing. Advanced deep learning techniques (LSTM) are used for accurate sales forecasting, providing actionable insights to drive strategic decision.

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

supermarmar/agnify-timeseries-forecasting

This repository contains notebooks and scripts developed for Agnify, focusing on advanced time series forecasting and data analysis.

Language: Jupyter Notebook - Size: 32.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

google/timecast 📦

Performant, composable online learning

Language: Python - Size: 84 KB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 4

yoom618/timelag_correlation_prediction

Language: HTML - Size: 9.43 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

RedisGears/ProphetGears

A Demo for RedisGears function that uses fbprophet for timeseries prediction

Language: Python - Size: 1.52 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 2

darrinbright/HybridNN-StockPrediction

This project aims to develop a stock market prediction model using Hybrid Neural Networks (LSTM+MLP)

Language: Jupyter Notebook - Size: 543 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

microsoft/A-TALE-OF-THREE-CITIES

Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.

Language: R - Size: 21.8 MB - Last synced at: 3 days ago - Pushed at: about 4 years ago - Stars: 86 - Forks: 34

zrkhadija/Data-Analysis-for-Financial-Time-Series

In this notebook, we performed data analysis on financial time series data from Yahoo Finance for the US market. We examined seasonality, trends, stationarity, and other aspects such as outliers and correlations.

Language: Jupyter Notebook - Size: 473 KB - Last synced at: 22 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

alecruces/SustainableLithium

Powering the Future in a Sustainable way: Analysis and Forecasting of Lithium exports for Australia and Chile using Time series Analysis and Business Market Models

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Godsihyeong/Trend-Analysis-in-Agricultural-and-Fishery-Product-Price-Fluctuations-by-District-in-Seoul

🥗 Time series model to forecast price trends

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zrkhadija/Multivariate-sector-price-prediction-using-macroeconomic-indicators

This project focuses on Multivariate Sector Price Prediction using macroeconomic indicators. By leveraging a custom-built LSTM model in PyTorch, we predicted the prices of 10 financial sectors simultaneously. The model takes as input the historical price data of these sectors along with key macroeconomic indicators.

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