forecasting-models | Topic | Ecosyste.ms: Repos

Alro10/deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2,703 - Forks: 531

alkaline-ml/pmdarima

A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

Language: Python - Size: 77.4 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 1,653 - Forks: 241

Nixtla/hierarchicalforecast

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Language: Python - Size: 23.2 MB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 670 - Forks: 84

business-science/timetk

Time series analysis in the `tidyverse`

Language: R - Size: 112 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 630 - Forks: 104

firmai/atspy

AtsPy: Automated Time Series Models in Python (by @firmai)

Language: Python - Size: 792 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 517 - Forks: 90

artefactory/streamlit_prophet

Streamlit app to train, evaluate and optimize a Prophet forecasting model.

Language: Python - Size: 26.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 350 - Forks: 253

PYFTS/pyFTS

An open source library for Fuzzy Time Series in Python

Language: Python - Size: 63.2 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 272 - Forks: 56

openclimatefix/graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

Language: Python - Size: 5.47 MB - Last synced at: 3 days ago - Pushed at: 14 days ago - Stars: 240 - Forks: 67

KasperGroesLudvigsen/influenza_transformer

PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"

Language: Python - Size: 366 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 221 - Forks: 75

GIS4WRF/gis4wrf

QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

Language: Python - Size: 443 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 175 - Forks: 39

business-science/sweep

Extending broom for time series forecasting

Language: R - Size: 32.8 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 155 - Forks: 31

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: 17 days ago - Pushed at: over 2 years ago - Stars: 118 - Forks: 24

DC-research/TEMPO

The official code for "TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)". TEMPO is one of the very first open source Time Series Foundation Models for forecasting task v1.0 version.

Language: Python - Size: 1.82 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 109 - Forks: 15

keblu/MSGARCH

MSGARCH R Package

Language: R - Size: 221 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 80 - Forks: 29

zachrenwick/streamlit_forecasting_app

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

Language: Python - Size: 7.37 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 57 - Forks: 31

quantsense/TimeSeries_Notebooks_Collections

Jupyter Notebooks Collection for Learning Time Series Models

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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: 23 days ago - Pushed at: over 1 year ago - Stars: 46 - Forks: 9

asael697/bayesforecast

Automatic forecasting and Bayesian modeling for time series with Stan

Language: C++ - Size: 34.5 MB - Last synced at: 1 day ago - Pushed at: 19 days ago - Stars: 45 - Forks: 6

KrishnanSG/holt-winters

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

Language: Jupyter Notebook - Size: 675 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 43 - Forks: 11

jstriaukas/midasml

midasml package is dedicated to run predictive high-dimensional mixed data sampling models

Language: R - Size: 2.65 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 39 - Forks: 23

hawkular/hawkular-datamining

Real-time time series prediction library with standalone server

Language: Java - Size: 3.99 MB - Last synced at: 2 months ago - Pushed at: about 4 years ago - Stars: 39 - Forks: 22

kennedyCzar/FORECASTING-1.0

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Language: Python - Size: 16.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 17

avikumart/Time-series-analysis-and-forecasting

In this repository, I have mentioned all the time series analysis methods from statsmodels library to analyse and model time-series data.

Language: Jupyter Notebook - Size: 22.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 4

QGoGithub/Python_ds_Research

Python based Quant Finance Models, Tools and Algorithmic Decision Making

Language: Python - Size: 28.3 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 34 - Forks: 23

nickvzorn/financial-forecast

Personal Financial Forecasting Model

Size: 15.3 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 32 - Forks: 0

Akai01/caretForecast

Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms

Language: R - Size: 2 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 10

jstriaukas/midasmlpy

Python implementation of the midasml approach

Language: Fortran - Size: 10 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 24 - Forks: 10

asavinov/lambdo

Feature engineering and machine learning: together at last!

Language: Python - Size: 414 KB - Last synced at: 17 days ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 4

IDA-HumanCapital/fife

Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting

Language: Python - Size: 1.25 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 4

jinit24/ARIMA-Model

ARIMA model from scratch using numpy and pandas.

Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 10

ManojKumarMaruthi/Time-Series-Forecasting

Forecasting Monthly Sales of French Champagne - Perrin Freres

Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 22 - Forks: 9

ssilvacris/Finance-Projects

This repository contains several exercises in Python and R, mainly in the area of finance, financial modeling, and statistics.

Language: HTML - Size: 2.84 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 20 - Forks: 9

leehyeonbeen/TimeSeriesSeq2Seq

Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

Language: Python - Size: 82 KB - Last synced at: 8 days ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 1

rsyamil/timeseries-rnn

Time-series forecasting with 1D Conv model, RNN (LSTM) model and Transformer model. Comparison of long-term and short-term forecasts using synthetic timeseries. Sequence-to-sequence formulation.

Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 6

andresC98/TSF_Transformers_TFM

Repository containing my Master Thesis for the M.Sc. Big Data Analytics, titled "Time Series Forecasting with Transformers".

Language: Jupyter Notebook - Size: 99.5 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 17 - Forks: 1

StevePny/DataAssimBench

Benchmarking tools for applying AI/ML to data assimilation

Language: Python - Size: 897 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 16 - Forks: 1

Yuanchao-Xu/hyfo

Hydrology and Climate Forecasting R package

Language: R - Size: 2.73 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 16 - Forks: 6

kennedyCzar/ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING

ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING

Language: Python - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 15 - Forks: 12

marlonrcfranco/soyforecast

Prediction of Soybean stock prices using LSTM with data from CBOT Soybean Futures + (2015 USA Weather Avg, Max, Min by USDA-NASS-soybeans-production_bushels-2015)

Language: Jupyter Notebook - Size: 48.9 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 3

ec-jrc/lisflood-lisvap

Lisflood OS (LISVAP)

Language: Python - Size: 2.89 GB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 12 - Forks: 6

katanaml/covid19

COVID-19 Growth Forecast

Language: Jupyter Notebook - Size: 36.1 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 7

sagelga/ComPro_Project

Fully Functional Point of Sale (POS) CLI system with sales, predictive and analytics tool. Written in pure C language

Language: C - Size: 38.4 MB - Last synced at: 5 days ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 26

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

yejoon-lee/Transformer_for_time_series

Transformer for time series forecasting

Language: Jupyter Notebook - Size: 180 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 2

d88w/ml_sales_forecast

[Sklearn] [Python] [SQL] Machine Learning project - forecasting company sales finish with pipeline data

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 9 - Forks: 0

ec-jrc/lisflood-calibration

Lisflood OS (Calibration tool)

Language: Python - Size: 1.64 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 9 - Forks: 11

tahmid-saj/fin-predict

Finance prediction app to view historical and current market data, weekly predictions on BTC / stocks / forex, and get support from AI driven services. Developed with Spring Boot, Maven, Thymeleaf, Django, AWS, GCP, Docker, MySQL.

Language: Java - Size: 380 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 9 - Forks: 3

MoinDalvs/Time_Series_Forecasting_From_Scratch

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 24 days ago - Pushed at: almost 3 years ago - Stars: 9 - Forks: 4

spsanderson/healthyverse_tsa

A Time Series Analysis of the healthyverse R pacakges

Language: R - Size: 349 MB - Last synced at: about 10 hours ago - Pushed at: about 12 hours ago - Stars: 8 - Forks: 0

pushkarsaini18/Gold-Price-forecasting

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the different metrics used to evaluate the forecasts. Goal: The goal of this project was to predict future gold price based on previous gold price. I apply various quantitative methods, (i.e. Times Series Models and Causal Models) to forecast the Price of the gold available in the dataset obtained from Kaggle. Models covered in the Project include: 1.Naive Model 2.ARIMA and Seasonal ARIMA Models 3.Linear Regression Model 4.Model Deployment (Streamlit)

Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 8 - Forks: 5

erdc/spt_compute

Runs streamflow forecasts using ECMWF predicted runoff and RAPID (Forked from: https://github.com/CI-WATER/erfp_data_process_ubuntu_aws).

Language: Python - Size: 23.7 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 16

shridhar1504/Sales-Forecasting-Datascience-Project

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 5

nghi-truyen/Flight-Data-Analysis

Forecast of aircraft parts failures and optimization of spare parts stock management.

Language: Python - Size: 8.13 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 2

xxl4tomxu98/econometrics-gdp-dpi-VAR

Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).

Language: Jupyter Notebook - Size: 7.19 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 2

raphischer/xpcr

Automatically select DNNs for time series forecasting under consideration of complexity and resource consumption.

Language: Python - Size: 38 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 2

cruiseresearchgroup/forecasting-on-new-roads

Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)

Language: Python - Size: 5.44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 4

shub-garg/Global-Temperature-Prediction-and-Analysis-using-ARIMA-SARIMAX-and-Neural-Network

This project aims to investigate temperature changes over time and predict future temperature patterns on a regional and global scale. We employ time series forecasting methods, including neural networks, ARIMA, and SARIMAX, using the GISTEMP v4 dataset from NA

Language: Jupyter Notebook - Size: 6.6 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 2

rishabmenon/Traffic-Congestion-Prediction-System

Traffic Congestion Prediction System using Data Mining

Language: Java - Size: 28.3 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 1

barunik/DistributionalForecasts.jl

Code accompanying the Anatolyev, S. and Baruník, J., (2019). Forecasting dynamic return distributions based on ordered binary choice. International Journal of Forecasting, 35(3), pp.823-835

Language: Julia - Size: 349 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 6

apoorvaa30/Time-Series-based-Sales-Forecasting-for-Beer

Beer national sales forecasting

Language: R - Size: 471 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 6 - Forks: 3

dream-faster/fold-wrappers 📦

🧱 Wrappers for 3rd party models to be used with fold (https://github.com/dream-faster/fold)

Language: Python - Size: 103 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 2

fischlerben/Yen-vs-US-Dollar

Python-written project that utilizes Time Series analysis, along with a Linear Regression model, to forecast the price of the Japanese Yen vs. the US Dollar. ARMA, ARIMA, and GARCH forecasting models included, as well as decomposition using the Hodrick-Prescott filter. In-Sample and Out-of-Sample performance metrics used to evaluate Linear Regression model.

Language: Jupyter Notebook - Size: 1.88 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 2

mpiannucci/surfnerd 📦

A comprehensive suite of surf forecasting and wave analysis tools

Language: Go - Size: 161 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1

mohitgupta-1O1/Kaggle-Web-Traffic-Time-Series-Forecasting

Forecasting future traffic to Wikipedia pages using AR MA ARIMA : Removing trend and seasonality with decomposition

Language: Jupyter Notebook - Size: 612 KB - Last synced at: 15 days ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 7

0x1za/forecasting-timeseries-ARIMA-models

How to Make Out-of-Sample Forecasts with ARIMA in Python

Language: Python - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: about 8 years ago - Stars: 6 - Forks: 1

ec-jrc/lisflood-model

Lisflood OS (Model Documentation)

Language: SCSS - Size: 39.4 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 5

tanvird3/Dhaka_Stock_Exchange_Forecasting

Forecasting stock prices with Long Short Term Memory (LSTM) architecture

Language: Jupyter Notebook - Size: 47.1 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

MinhDg00/theta

Theta methods for time series forcasting

Language: Python - Size: 35.2 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0

Hamid-abdellaoui/Crop-yield-prediction

Crop yield Forecasting on the basis of meteorological predictions using some Time series & ML models

Language: Jupyter Notebook - Size: 9.88 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

noaa-ocs-modeling/PyOFS

Python library for converting ocean data from NetCDF to geospatial format.

Language: Python - Size: 816 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 1

nalron/project_electricity_forecasting

Projet de prédiction d'électricité en France à partir de données réelles. Manipulation de données, modélisation de type régression linéaire, ainsi que différentes modélisations de séries temporelles (Holt-Winters, SARIMA).

Language: Jupyter Notebook - Size: 26 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 3

Mehrdad93/Trajectory-path-prediction

Predicting trajectory paths of novel compounds employing RNN-based models (computational chemistry simulation-based problem)

Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 2

kazimsanlav/Midas-GDP-Forecast

My senior year project. Forecasting Turkey's real GDP growth using mixed data sampling regression model.

Language: R - Size: 9.03 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 5 - Forks: 8

payoj21/Stock_indicators

Project I did during summer internship in Times Internet Ltd.

Language: Java - Size: 15.6 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 1

abhay-lal/Asset-bubble

Project helps the investors using a predictive analytics model or providing actionable analytical insights to this problem. The output is the confidence score on whether the stock market will crash in 2022 or not and if it does find an approximate time interval in which this can possibly occur

Language: Jupyter Notebook - Size: 116 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

prusrafal/AU-Data-Science-24 Fork of rbroc/DataSci-AU-24

My exercise-focused version of the primary repository for the course: Data Science, Prediction, and Forecasting, taught as part of the CogSci masters program at Aarhus University.

Language: Jupyter Notebook - Size: 576 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

hammaad2002/Solar-Irradiance-Forecasting-Using-Deep-Learning-Techniques

Solar Irradiance Forecasting Using Deep Learning Techniques

Language: Jupyter Notebook - Size: 5.39 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1

javaidiqbal11/Time-Series-Forecasting-using-ARIMA-SARIMA

This repo for time series forecasting using ARIMA and SARIMA models with Python 3.x

Language: Python - Size: 104 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

anita-owens/Forecasting-in-R

Forecasting Exercises done in R

Language: HTML - Size: 18.8 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

adarshvee/CognitiveStatisticalModels

Does the mind have statistical models? Even if it does, are these models Bayesian? We explore these questions as a part of my Masters capstone project guided by Prof. Glenn Shafer

Language: TeX - Size: 818 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 0

sebashc3712/pythonForecastMachineLearning

This code finds the best algorithm from sklearn to forecast your numeric data

Language: Python - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 4 - Forks: 1

SevilayMuni/Multivariate-TimeSeries-Forecast-LSTM-Apple-Google-Stocks

Complete guide to create robust LSTM models for forecasting stock price

Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: 18 days ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0

biromiro/pinn-multivp

💨 This repository contains the source code and additional resources for the paper "Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models". The paper discusses the challenges of solar wind forecasting and the application of Physics-Informed Neural Networks (PiNNs) to improve prediction accuracy and computational efficiency.

Language: Jupyter Notebook - Size: 100 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

R-Madhuram/DartmouthCapstone_CrudeOilPricePrediction

Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.

Language: Jupyter Notebook - Size: 35.6 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 2

ramisa2108/Taxi-Demand-Forecasting-System

A machine learning based forecasting system for taxi demand prediction

Language: Jupyter Notebook - Size: 66 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2

mahendranandi/NIFTY-Share-Market-Price-Prediction

Time series analysis on NIFTY data ( bank,oil,metal,it ) using GARCH model in R.

Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 4

neemiasbsilva/lstm-pollution-china

Using long short term memory networks to analysis the pollution of Beijing, China.

Language: Jupyter Notebook - Size: 370 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

tessajean/UNHCR-Final-Data-Analysis

Size: 374 KB - Last synced at: 26 days ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1

QGoGithub/Machine_Learning_QResearch

Machine Learning Techniques to extract useful forecasts, conclusions and decision making in Quant Finance

Language: Matlab - Size: 9.77 KB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 3 - 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: 1 day ago - Pushed at: 1 day ago - Stars: 2 - Forks: 1