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: 75.9 MB - Last synced: 12 days ago - Pushed: 3 months ago - Stars: 1,518 - Forks: 226

roniantoniius/Seasonal-Champagne-Sales-Prediction-Using-SARIMAX

Language: Jupyter Notebook - Size: 425 KB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 0 - Forks: 0

ramxbx/GamblingAddictionTimeSeriesPrediction

A Time series Data modelling to forecast Gambling Addiction Signs in Players using K-Means Clustering, ARIMA/SARIMA and LSTM to forecast wagering patterns

Language: Jupyter Notebook - Size: 80.7 MB - Last synced: 5 days ago - Pushed: 6 days ago - Stars: 0 - Forks: 0

gugunm/flask-sarima

Sarima using flask framework for building a rest API model

Language: Python - Size: 156 KB - Last synced: 13 days ago - Pushed: over 1 year ago - Stars: 1 - Forks: 1

zemlyansky/arima

ARIMA, SARIMA, SARIMAX and AutoARIMA models for time series analysis and forecasting in the browser and Node.js

Language: JavaScript - Size: 52.7 KB - Last synced: 13 days ago - Pushed: about 1 year ago - Stars: 67 - Forks: 14

FoamoftheSea/mod4project Fork of learn-co-students/dsc-mod-4-project-online-ds-sp-000

Consulting an imaginary real estate investment firm using historical housing sales price data and SARIMAX time series modeling. Flatiron Module 4 Project.

Language: Jupyter Notebook - Size: 55.7 MB - Last synced: 20 days ago - Pushed: over 3 years ago - Stars: 3 - Forks: 2

arkeodev/time-series

Time Series Analysis

Language: Jupyter Notebook - Size: 14.2 MB - Last synced: 22 days ago - Pushed: 23 days ago - Stars: 1 - Forks: 0

gaurav0628/StockCorrelationPredictor

A Stock Price Predictor Model based on latest Recurrent Neural Networks and Long Short Term Memory machine learning models.

Language: Jupyter Notebook - Size: 11.2 MB - Last synced: 27 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

JoaquinAmatRodrigo/skforecast

Time series forecasting with scikit-learn models

Language: Python - Size: 216 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 872 - Forks: 104

heidelbergcement/hcrystalball

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

Language: Python - Size: 10.9 MB - Last synced: 9 days ago - Pushed: 3 months ago - Stars: 152 - Forks: 19

RohitG57/Seoul-Bike-Sharing-Demand

In this Machine Learning project Rented Bike Count is predicted based on different Independent features using regression models like Linear Regression, KNN, SVR, DT, RF and XGBRegressor. Time series model SARIMAX is also used to predict dependent variable.

Language: Jupyter Notebook - Size: 14.2 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

Sarthak061/Soil-Moisture-Pred-NITH

a machine-learning model that can predict soil moisture levels based on time series data.

Language: Jupyter Notebook - Size: 8.41 MB - Last synced: 29 days ago - Pushed: about 1 year ago - Stars: 1 - Forks: 3

NatashaSvic/Forecasting_Revenues_Milk

Forecasting of Revenues for a Spanish Milk Manufacturer based on anonymised data as final university project.

Language: Jupyter Notebook - Size: 1.52 MB - Last synced: about 1 month ago - Pushed: almost 6 years ago - Stars: 1 - Forks: 1

Honey28Git/Time-Series-Forecasting

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.

Language: Jupyter Notebook - Size: 4.3 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

MNLKuzmin/USEnergy_Generation

Time series model that predicts production of electrical energy via natural gas for the next 3 years.

Language: Jupyter Notebook - Size: 55.1 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 2 - Forks: 0

varunsly/Time_Series_Forecasting_SARIMA

Using SARIMA model for time seies forecasting

Language: Jupyter Notebook - Size: 1.53 MB - Last synced: about 2 months ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

rpribau/TC2004-Reto-Front

Language: JavaScript - Size: 536 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

rafat/ctsa

A Univariate Time Series Analysis and ARIMA Modeling Package in ANSI C. Updated with SARIMAX and Auto ARIMA.

Language: C - Size: 15.6 MB - Last synced: about 2 months ago - Pushed: 12 months ago - Stars: 53 - Forks: 24

msikorski93/Stock-Price-Forecasting-With-Exogenous-Variables

Time series forecasting (close prices) with different estimators.

Language: Jupyter Notebook - Size: 3.45 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

AdammGreen/Time-Series-Analysis

Here is a time series analysis using R and Arima models to predict air traffic for Hong Kong Airport.

Language: R - Size: 4.6 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

awaleedpk/Forecasting-Time-Series-Data-with-SARIMAX-SARIMA-Hyperparameter-Tuning

Python implementation for time series forecasting with SARIMAX/SARIMA models and hyperparameter tuning. Enhance your predictions!

Language: Jupyter Notebook - Size: 420 KB - Last synced: 2 days ago - Pushed: 6 months ago - Stars: 3 - Forks: 2

SannketNikam/NYC-Energy-Consumption

Predicting New York City Energy Demand Consumption using Auto-Arima and Prophet Time Series Analysis

Language: Jupyter Notebook - Size: 20.1 MB - Last synced: 24 days ago - Pushed: 11 months ago - Stars: 0 - Forks: 1

debdattasarkar/Time-Series-Analysis-and-Forecasting--Use-SARIMAX-to-Predict-Customer-Complaints

Time Series Analysis and Forecasting: Use SARIMAX to Predict Customer Complaints

Language: Jupyter Notebook - Size: 3.15 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

gulabpatel/TimeSeries

Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots

Language: Jupyter Notebook - Size: 13 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 6 - Forks: 3

zeeshanmulla/Time-Series-Analysis-With-Python-TSA-

A Repo of Time-series analysis techniques. Holt-Winter methods, ACF/PACF, MA, AR, ARMA, ARIMA, SARIMA, SARIMAX, VAR, VARMA, RNN Keras, Facebook- Prophet etc.

Language: Jupyter Notebook - Size: 22.9 MB - Last synced: 11 days ago - Pushed: about 4 years ago - Stars: 17 - Forks: 7

amaliogomezlopez/USISA-Project

Three projects as a freelance Data Scientist for USISA, largest canning company in Andalucia. Forecasting prediction of sales, recommendation system and clustering.

Language: Jupyter Notebook - Size: 10.3 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

saikrishnabudi/Forecasting

Data Science - Forecasting

Language: Jupyter Notebook - Size: 5.06 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

ajitsingh98/Time-Series-Analysis-and-Forecasting-with-Python

Time Series Analysis and Forecasting in Python

Language: Jupyter Notebook - Size: 5.87 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 56 - Forks: 25

GeoBosh/sarima

Time series modelling with extended regression SARIMA models

Language: R - Size: 19.6 MB - Last synced: 3 days ago - Pushed: about 2 months ago - Stars: 3 - Forks: 3

ColetonReitan/Forecasting-Global-CO2-Levels-Using-Time-Series-Analysis

Forecasting the rate at which atmospheric CO2 levels are increasing globally by performing a time series analysis on the atmospheric concentration of CO2 based on data from an observatory located in Mauna Loa, Hawaii.

Language: R - Size: 677 KB - Last synced: 3 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

bnvulpe/regression-and-time-series

This work centers on assessing and comparing predictive models for regression and time series prediction using specific datasets, with the goal of selecting the most effective methodology for unseen test data.

Language: Jupyter Notebook - Size: 10.9 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

Timonflogo/Economics-Project

Multivariate Forecasting of Hourly Electricity Consumption with ARIMAX, SARIMAX, and LSTM

Language: Python - Size: 33.5 MB - Last synced: 4 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

Abhigyan76/Time-Series

Forecasted the wells production

Language: Jupyter Notebook - Size: 2.47 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

timothycho01/TMU_Security_Incidents

Dashboarding & Forecasting Security Incidents @ Toronto Metropolitan University

Language: Jupyter Notebook - Size: 18.8 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

AliBakly/Time-Series-Analysis

Time Series Analysis

Language: MATLAB - Size: 96 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

AxZxP/WAG-Results-Forecasting

Autoregression model for predicting results on metrics and Cohort analysis.

Language: Python - Size: 2.13 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

CyrilleSmid/load-prediction-research-notebook

Comparison of methods for predicting electricity consumption of a large non-residential building.

Language: Jupyter Notebook - Size: 6.92 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

PranjalGhildiyal/RealTimeSeries

Real time streaming of a time series with corresponding forecasts.

Language: Python - Size: 13.3 MB - Last synced: 26 days ago - Pushed: 6 months ago - Stars: 3 - Forks: 1

IDB-FOR-DATASCIENCE/Predictive-Excellence-Engine

In this notebook, we will create an AI and time serie driven forecasting engine based on a set of 5 AI models and 5 time series models and employ several algorithms to perform feature engineering and selection on a multivariate time series dataset.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced: 3 months ago - Pushed: almost 3 years ago - Stars: 11 - Forks: 3

dushyantkhosla/ts-forecasting-ensemble

CentOS based Docker container for Time Series Analysis and Modeling.

Language: Jupyter Notebook - Size: 12.8 MB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 21 - Forks: 5

lucaordronneau/odc-air-quality-catalonia

Air Quality in Catalonia

Language: Jupyter Notebook - Size: 2.91 MB - Last synced: 3 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

SumanKOLKATA/TATA-Motors-Closing-Price-Forecasting-with-ARIMA-SARIMA-SARIMAX

👨‍💻👨‍💻 Forecasting 30 day's closing price trend or possible movement in Tata Motors. Trend identification provide information for future stock price movement, which helps for investment in short term preiod.

Language: Jupyter Notebook - Size: 2.04 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

letandrade/analise_oportunidades_venda

O objetivo deste case é fornecer a empresa do ramo de varejo A-Tech uma estratégia de diferenciação da concorrência através da previsão de demanda e segmentação de lojas.

Language: Jupyter Notebook - Size: 5.23 MB - Last synced: 5 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

Nerdward/Time_Series_Forecasting_Study

A repository with notebooks to help understand time series forecasting, with projects to practise.

Language: Jupyter Notebook - Size: 2.07 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

kanch91/project-energy

Time-series analysis of the electricity load consumption in the Mumbai Metropolitan Region.

Language: Python - Size: 49 MB - Last synced: 3 months ago - Pushed: almost 3 years ago - Stars: 8 - Forks: 0

snsten/SP500_Time-Series_Forecasting

S&P500 Stock Index Movement Forecastor with various Statistical and Machine Learning Models

Language: Jupyter Notebook - Size: 1.38 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 8 - Forks: 5

vishnukanduri/Time-series-analysis-in-Python

I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.

Language: Jupyter Notebook - Size: 2.49 MB - Last synced: 3 months ago - Pushed: about 4 years ago - Stars: 46 - Forks: 37

kmyafi/Electric-Vehicle-Charger-Prediction

Time series analysis: Number of electric vehicles forecasting in counties of Washington state.

Language: Jupyter Notebook - Size: 15.3 MB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

AlgoMathITMO/Forecasting-railway-ticket-demand-with-search-query

Forecasting passenger demand for railway tickets using open data

Language: Jupyter Notebook - Size: 1.43 MB - Last synced: 3 months ago - Pushed: almost 2 years ago - Stars: 2 - Forks: 2

caciitg/Air-Quality-Index-Prediction

Detects PM2.5 levels based on daily atmospheric conditions

Language: Python - Size: 269 KB - Last synced: 4 months ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 6

anafisa/NYC-Taxi-Demand-Prediction

The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.

Language: Jupyter Notebook - Size: 2.91 MB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 18 - Forks: 1

rahulrao9/StockPricePrediction_SARIMAX

Predict Stock Prices and Formulate Winning Strategies

Language: Jupyter Notebook - Size: 910 KB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

Jspano95/Retail-TimeSeries-Forecasting-Methods

A comparative breakdown of traditional econometric timeseries models vs. more modern ML methods for predicting a retail firm's sales over a short to medium horizon

Language: Jupyter Notebook - Size: 855 KB - Last synced: 6 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

absaw/Surface-Water-Quality-Data-Anomaly-Detection

Surface water quality data analysis and prediction of Potomac River, West Virginia, USA. Using time series forecasting, and anomaly detection : ARIMA, SARIMA, Isolation Forest, OCSVM and Gaussian Distribution

Language: Jupyter Notebook - Size: 14.4 MB - Last synced: 7 months ago - Pushed: almost 4 years ago - Stars: 7 - Forks: 7

30lm32/ml-time-series-analysis-sarimax

Building different models for non-seasonal and seasonal approaches by using ARIMA and SARIMAX in statsmodels package, respectively.

Language: Jupyter Notebook - Size: 2.12 MB - Last synced: 7 months ago - Pushed: about 5 years ago - Stars: 2 - Forks: 2

erlndofebri/Time-Series-Analysis

This repository consist of 2 time series projects. We tried to forecast stock price and world temperature

Language: Jupyter Notebook - Size: 531 KB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

domingosdeeulariadumba/myairpassangersattempt

This is my take on air passengers time series.

Language: Python - Size: 748 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

abhinavprasoon141/uk_inflation_prediction

The Project uses a Kaggle Dataset that utilises information of UK's historical inflation rise and predict the inflation rate using SARIMA modelling.

Language: Jupyter Notebook - Size: 183 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

SS-Sid/Commodity_Forecasting

Data Science Project on Time Series Forecasting

Language: Jupyter Notebook - Size: 3.14 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

Mfundo-debug/Weather_Forecast

Weather Forecast

Language: Jupyter Notebook - Size: 359 KB - Last synced: 23 days ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

preyalameta02/Sales-Forecast-main

Predictive sales analysis based on historical data of the customer.

Language: TypeScript - Size: 17.9 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

edohgoka/Predict_Sales_Of_a_Product

Project - Time Series Analysis. Forecasting a product sales.

Language: Jupyter Notebook - Size: 458 KB - Last synced: 9 months ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

vedantaher2003/-Air-Quality-Index-levels-predicted-PBL

a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.

Language: JavaScript - Size: 1.17 MB - Last synced: 5 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

ManojKumarMaruthi/Time-Series-Forecasting

Forecasting Monthly Sales of French Champagne - Perrin Freres

Language: Jupyter Notebook - Size: 1.57 MB - Last synced: 7 months ago - Pushed: almost 5 years ago - Stars: 22 - Forks: 9

itaniyagupta/Google_Stock_Price_Prediction

Predicting google stock for next 10 days, evaluating which model (ARIMA or SARIMA) gives more accurate results.

Language: Jupyter Notebook - Size: 429 KB - Last synced: 3 months ago - Pushed: 9 months ago - Stars: 1 - Forks: 0

Chandrakant817/Time-Series

Implementation of Time Series

Language: Jupyter Notebook - Size: 5.06 MB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

erickCantu/TheGreenCitySolutionsGroup

Forecasting building energy demand through time series analysis and machine learning.

Language: Jupyter Notebook - Size: 118 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 3 - Forks: 3

franmateus/Time-Series

Previsões de acessos ao blog Cinetour - Viagem de Cinema

Language: Jupyter Notebook - Size: 4.15 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

Sandy0002/Time-Series-Analysis

Demonstration of time series analysis using various concepts and models.

Language: Python - Size: 169 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

shridhar1504/Milk-Production-Time-Series-Forecasting-Datascience-Project

This project uses time series forecasting to predict future milk production. The data used in this project is monthly milk production data from January 1962 to December 1975. The ARIMA (autoregressive integrated moving average) model is used to forecast the milk production. The model is evaluated using various metric.

Language: Jupyter Notebook - Size: 5.67 MB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

wenceslas-sanchez/tsNostradamus

TS forecasting with time weighted mean method

Language: Python - Size: 1020 KB - Last synced: 10 months ago - Pushed: over 3 years ago - Stars: 4 - Forks: 0

IrisManola/Time-Series-Forecasting_Smoothing_SARIMAX

time series forecasting using exponential smoothing, SARIMA, SARIMAX

Language: Jupyter Notebook - Size: 5.81 MB - Last synced: 24 days ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

MohammadMoradpoor/ForecastAI

📈💼✈️ Welcome to ForecastAIHub! Our repository is dedicated to financial market prediction and flight passenger forecasting. By harnessing powerful AI algorithms, we provide accurate forecasts for market trends and flight demand. 📊💹✈️ Our mission is to empower data-driven decision-making in the realms of finance and aviation.

Language: Jupyter Notebook - Size: 765 KB - Last synced: 3 months ago - Pushed: 11 months ago - Stars: 2 - Forks: 0

sawadogosalif/Retail-360

Customers knowledge, supply chain movement and sales forecasting, Customer Lifetime value, churn and survival analysis

Language: Python - Size: 5.79 MB - Last synced: 2 days ago - Pushed: over 1 year ago - Stars: 4 - Forks: 0

lethuyngocan/Time-Series-Forcast-Superstore-Sales

Using ARIMA and SARIMA time series models, I forecasted the future sales of a superstore by leveraging historical data spanning four years, from 2015 to 2018.

Language: Jupyter Notebook - Size: 1.58 MB - Last synced: 4 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

jajokine/Time-Series-Modeling

MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - Fourth Project

Language: Jupyter Notebook - Size: 792 KB - Last synced: 4 months ago - Pushed: almost 2 years ago - Stars: 4 - Forks: 7

quan-possible/energy-demand-prediction

Language: Jupyter Notebook - Size: 31.1 MB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 14 - Forks: 7

jashshah-dev/Time-Series-Forecasting-of-Macro-Economic-Parameters

Time Series Analysis of Macro Economic Parameters using Vector Auto Regression Model

Size: 1.57 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

alimohammadiamirhossein/CryptoPredictions

CryptoCurrency prediction using machine learning and deep learning

Language: Python - Size: 20.1 MB - Last synced: 11 months ago - Pushed: 11 months ago - Stars: 46 - Forks: 9

jlopez873/Rideshare_Modeling

This repository contains the code and data for a project focused on improving the prediction accuracy of rideshare demand in New York City during the Covid-19 pandemic.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

Pradnya1208/Bitcoin-Price-Prediction-using-ARIMA

Bitcoin price prediction using ARIMA Model.

Language: Jupyter Notebook - Size: 7.46 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 8 - Forks: 2

Arunfi143/Climate_Change_prediction_

Climate change prediction on different States of different Countries weather data using time series analysis

Language: Jupyter Notebook - Size: 5.5 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

ninjakx/AQP

Project on predicting the air quality of delhi using arima. https://aqp-web-production.up.railway.app/ (working)

Language: Jupyter Notebook - Size: 20.8 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 1

Faluhelyi/pibic_2021-2022

Complete solution for MOFC M5 Forecasting in kaggle.

Language: Python - Size: 4.54 MB - Last synced: 12 months ago - Pushed: 12 months ago - Stars: 3 - Forks: 0

aokdata/Solar_Power_Output_Time_Series

Univariate time series analysis and modeling project of solar power output in the United States.

Language: Jupyter Notebook - Size: 19.9 MB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

shanuhalli/Assignment-Forecasting

Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.

Language: Jupyter Notebook - Size: 3.29 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 1

khwajaavais/Car-Servicing-Company-Revenue-Forecasting

The project is designed to forecast the revenue for the Car Servicing Company for the upcoming n months using a SARIMAX Time Series Algorithm.

Language: Jupyter Notebook - Size: 1.66 MB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0

imsouza/covid-analysis

🦠 Predictive model on the evolution of Covid-19 in Espírito Santo - Brazil, considering factors such as trend, seasonality, error, cyclicality and autocorrelation

Language: Jupyter Notebook - Size: 3.75 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

sahidul-shaikh/time-series-forecasting-airline-passenger-traffic

Build models for forecasting Airline passenger traffic by utilizing several algorithms for time series analysis.

Language: Jupyter Notebook - Size: 809 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 3 - Forks: 2

atecon/auto_arima

Returns best ARIMA model according to information criteria. Search over possible model within the order constraints provided.

Language: Python - Size: 133 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 2 - Forks: 0

AndreaRettaroli/venezia-project-ssd

The project aims to forecast the influx of Venice M9Museum

Language: Python - Size: 4.27 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

MartinMashalov/BisonForecastBacktester

Backtesting software for intraday and daily timeframe SARIMAX forecasting model. Capable of forecasting on any asset class with backtesting capability across various parameter sets customizable by the user.

Language: Python - Size: 19.5 KB - Last synced: 15 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

zeryabmoussaoui/statistics_notebooks_for_students

A collection of Statistics and ML notebooks useful for Graduate Students

Language: Jupyter Notebook - Size: 1.2 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 0

saritmaitra/Historical-price-index

Predictive Analytics

Language: Jupyter Notebook - Size: 4.59 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 7 - Forks: 3

badl7/Forecasting_future_sales

Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.

Language: Jupyter Notebook - Size: 3.13 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 6 - Forks: 1

semihdesticioglu/SalesForecasting

Sales Forecasting with Time Series Analysis by using ARIMA and SARIMAX.

Language: Jupyter Notebook - Size: 1.97 MB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

IvanildoBatista/Series-Temporais

Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.

Language: Jupyter Notebook - Size: 29 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 43 - Forks: 27

surajh8596/Time-Series-Forecasting

Different Time Series Forecasting Methods Like Moving Average, ETS, ARIMA, SARIMA, ARCH GARCH VAR

Language: Jupyter Notebook - Size: 13.2 MB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

MoinDalvs/Forecasting_CocaCola_prices.

Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

Language: Jupyter Notebook - Size: 6.35 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 1

IamMayankThakur/gold-price-analysis

Creating a model to analyze and predict the trend of the prices of gold.

Language: Jupyter Notebook - Size: 778 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 33 - Forks: 26