Topic: "prophet-model"
AICoE/prometheus-anomaly-detector 📦
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
Language: Jupyter Notebook - Size: 9.21 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 606 - Forks: 153

advaitsave/Introduction-to-Time-Series-forecasting-Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 323 - Forks: 138

aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
Language: Python - Size: 5.94 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 257 - Forks: 63

piekarsky/Short-Term-Electricity-Price-Forecasting-at-the-Polish-Day-Ahead-Market
Modeling time series of electricity spot prices using Deep Learning.
Language: Jupyter Notebook - Size: 79.9 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 43 - Forks: 10

grtvishnu/Air-Pollution-Prediction-and-Forecasting
:octocat: Detection and Prediction of Air quality Index :octocat:
Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 43 - Forks: 16

jroakes/ForecastGA
A Python tool to forecast Google Analytics data using several popular time series models.
Language: Python - Size: 342 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 42 - Forks: 10

abhilash1910/Deep_Reinforcement_Learning_Trading
Deep Reinforcement Learning for Trading
Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 6

katanaml/covid19
COVID-19 Growth Forecast
Language: Jupyter Notebook - Size: 36.1 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 7

vqrca/bootcamp_alura_projeto_3
Cenários e efeitos da pandemia causada pelo novo coronavírus SARS-CoV-2 no Amazonas: Análise e previsão de séries temporais com a biblioteca Prophet.
Language: Jupyter Notebook - Size: 49.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 0

ourendingdays/AI-in-Finance
In this project, analysis and prediction of the bitcoin price was carried out as part of a project to research artificial intelligence in finance in the scope of Interactive ML course at Augsburg University
Language: Jupyter Notebook - Size: 37.2 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 1

SverreNystad/power-predictor
Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features
Language: Jupyter Notebook - Size: 385 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 2

TelRich/Currency-Foreign-Exchange-Rates-Forecasting
This a Capstone Project done by Team Pycaret in Hamoye Data Science Program Fall'22. ARIMA and Prophet model were used to forecast the closing price of currency exchange. An app was deployed with a friendly UI where users can easily make forecast on a currency pair of their choice, based on the available data used.
Language: Jupyter Notebook - Size: 32 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

AaronFlore/Forecasting-Bitcoin-Prices
Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

meiradania/forecast-with-prophet-intro
Using the Prophet package published by Facebook to do time series forecasting. This is a beginner's level walk-through
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cghv94/forecasting-cryptos
Pronósticos de evolución del precio de 8 criptomonedas seleccionadas (BTC, ETH, XRP, LTC, BCH, BAT, MANA, GNT) mediante un modelo prophet simple para series de tiempo no lineales.
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magcox5/climate_change_2038 Fork of johnnybyun/final_project
We compared data of temperature, sea level, CO2 emissions and population from 1993-2015. We used our machine learning forecast to answer "When will the temperature rise to a dangerous level of 16.37 𝇈C /61.47𝇈F?" Our research and analysis showed that there is a positive trend in the rise of population, CO2 emissions, temperature and global mean sea level.
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sayaliwalke30/Stocks-Analysis-and-Prediction
Web scrapped the stocks fundamentals for 502 stocks and carried out data analysis using SQL and POWER BI. Built a very useful visualization for Value Investing. Selected 5 stocks and predicted their price.
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jarodchristiansen/PythonProjects
Full Stack Web Development, Machine Learning, and Deep Learning in Python. Content from Various courses as well as personal projects. (Currently largest repo 10/6/2020)
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shahgem/CIND-820
Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting
Language: Jupyter Notebook - Size: 59.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 1

easonlai/fb-prophet-stock-prediction-v1
Using Facebook Prophet model to predict HK stock price
Language: Jupyter Notebook - Size: 181 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

jr2ngb2/Sales_Prediction
Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: almost 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 5

Jadaunkg/ai-stock-predictions
An intelligent stock analysis platform built with Python & Flask. Fetches historical/fundamental data, applies Prophet time-series forecasting & technical indicators, and delivers easy-to-understand prediction reports.
Language: Python - Size: 112 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0

Birmingham-and-Solihull-ICS/winter_predictions
A repository for developing winter predictions and forecasts
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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: about 2 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

ryancodingg/bitcoin-news-sentiment-analysis
This project analyzes historical Bitcoin price movements using machine learning techniques and time series forecasting models. It utilizes a dataset containing Bitcoin news headlines and price data over time. Various statistical and machine learning methods, such as ARIMA, Prophet, and feature engineering, are used to predict future Bitcoin prices
Language: Jupyter Notebook - Size: 7.76 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

No-Country/c16-92-ft-data-bi
Este repositorio contiene un análisis exhaustivo de las sobredosis de opioides en Estados Unidos, un problema de salud pública que ha alcanzado proporciones alarmantes en las últimas décadas. A través de una combinación de datos estadísticos, visualizaciones informativas y análisis en profundidad. 💉🩺
Language: Jupyter Notebook - Size: 52.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

SaibalPatraDS/Pharma-Sales-Analysis-and-Forecasting
Pharma Sales Analysis and Forecasting using ARIMA, PROPHET and NEURAL NETWORKS
Language: Jupyter Notebook - Size: 3.49 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

LorenFiorini/Market-Analysis
I'm learning how to use different python libraries to analyze market data and perform statistical forecasting.
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Kulshre142/E-Commerce-Food-Product-Sales-Forcasting-System
This repository holds the project Food Products Sales Forecasting which includes data preparation, data visualization, and forecasting for sales of food products.
Language: HTML - Size: 11.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

baotramduong/Bitcoin-Price-Prediction-using-Facebook-Prophet
In this work, we will approach the forecast of daily closing price series of the Bitcoin cryptocurrency using data on prices of prior years (January 2016 to August 2020).
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tanvird3/Crypto_Forecast
Forecast Cryptocurrencies with Facebook's Prophet Procedure
Language: CSS - Size: 61.5 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 2

Ajain1414/web-analyzer-frontend
(Legacy) This is the frontend for Mazaoro SARLU's lead magnet: "Web Analyzer" inspired by Hubspot's website grader.
Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

Gauranshgoel123/predictive-demand-analysis
Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend
Language: Python - Size: 72.2 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

hirenkumawat/M3_Challenge_MTF
Math Modeling M3 Challenge 🏆 Forecasting Small Farmer Losses using Time Series Analysis (Prophet), Ridge Regression
Language: Jupyter Notebook - Size: 6.23 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

CD-AC/DataScience-Sales_Prediction
This project utilizes Prophet, a powerful forecasting tool developed by Facebook, to predict seasonal sales patterns. Leveraging time series analysis techniques, the project aims to forecast the seasons of the year with the highest sales.
Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

404annas/Hadiths
Obsessed with the | Life-Style-Of | Muhammad PBUH
Language: CSS - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

JimeFioni/Deaths-of-Drugs-Overdose-
Este repositorio contiene un análisis exhaustivo de las sobredosis de opioides en Estados Unidos, un problema de salud pública que ha alcanzado proporciones alarmantes en las últimas décadas. A través de una combinación de datos estadísticos, visualizaciones informativas y análisis en profundidad. 💉🩺
Language: Jupyter Notebook - Size: 50.4 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 2

hlz-922/stock-price-forecast
Language: Jupyter Notebook - Size: 384 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

jigarpatel108/Machine-Learning-Projects-Python
Repository of all my Machine Learning projects using Python
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saziaa/Sales-Prediction-for-Pharmaceutical-Distribution-Companies-by-Time-Series-Analysis
Evaluated the sales of a pharmaceutical distribution company using time series sales forecasting models named Seasonal Autoregressive Integrated Moving Average (SARIMA), Prophet, and Support Vector regression (SVR). Assessed and compared the performance of these methods by RMSE and predicted short term sales with the help help of these models.
Language: Jupyter Notebook - Size: 19.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

algocry/aqi-predictor
AQI Forecaster web app using Machine Learning
Language: Python - Size: 218 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

AxZxP/WAG-Results-Forecasting
Autoregression model for predicting results on metrics and Cohort analysis.
Language: Python - Size: 2.13 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

mahakanakala/temperature-anamoly-forecasting
Streamlit app of a time forecasting series of global temperature using the Prophet model.
Language: Jupyter Notebook - Size: 1.94 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

redayzarra/ml-avocado-project
This project utilizes Facebook Prophet to analyze time series data and accurately predict commodity (avocado) prices for the market.
Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

faisal-fida/stock-price-prediction-using-lstm-prophet-and-arima-models
LSTM, Prophet, and ARIMA models
Language: Python - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

seherkuutlu/Time-Series-Forecasting-With-Dl-and-Ml-Model-
Time series analysis using fuel oil data from Italy. In addition, deep learning and machine learning approaches are discussed in the study for time series forecasting.
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r-vvch/DMLS_2022_stocks
Team project on stock prices forecasting for X5 DMLS course
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Mikhail-Repkin/Yandex_Practikum_projects
Учебные проекты в рамках программы профессиональной переподготовки: Специалист по Data Science
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prohogiy90/sber_DS_internship-prediction-of-the-stable-part-of-funds-on-customer-accounts
Prediction of the stable part of funds on customer accounts / virtual internship from Sber
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acmpesuecc/Metrics-Anomaly
Language: Jupyter Notebook - Size: 8.6 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 2

ziadelassal/DrahiX-energy-forecasting
Forecasting the energy consumption of Ecole Polytechnique's start-up incubator building.
Language: Python - Size: 2.08 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mohsin-riad/future-weather-forecasting
The aim of this repo is to predict forecast for the future of a specific area, where up to 30 years forecast being predicted using Prophet Model.
Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

manjismajumdar/Bank-Internship---Optimization-of-Cash-Retention-Limit
Time series forecasting of pay and receipt for South Delhi branches using Prophet and then setting limits for deciding the CRL for each branch
Language: Jupyter Notebook - Size: 6.33 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

AnaAGG/Code_Pills
In this repository you can find some basic concepts about Python programming and data analysis prepared for education.
Language: HTML - Size: 110 MB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

AzizMosbah/AppInstallsPrediction
Comparing two methods of time series prediction on an App first time downloads on the AppStore
Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Pradnya1208/Web-Traffic-Time-Series-Forecasting
This project aims to forecast the future web traffic for approximately 145,000 Wikipedia articles.
Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

tanvird3/DSEX_Analysis
This Shinyapp does some basic analysis on the indices of Dhaka Stock Exchange. The future values of the indices are also forecasted using the Prophet forecasting procedure.
Language: Python - Size: 16.6 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

mossydidar/Coronavirus-EDA-and-Forecasting-with-Prophet
Exploratory Data Analysis on the Coronavirus data set available in South Korea and Time Series Forecasting using Facebook's Prophet
Language: Jupyter Notebook - Size: 854 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

Nirzak/Bitcoin-Price-Prediction-Using-Machine-Learning
Predicting future openings of bitcoin trades using machine learning approach
Language: Jupyter Notebook - Size: 870 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

shahkesh/Time-Series-Prediction
Implementation of timeseries predictive models with public transport data.
Language: Jupyter Notebook - Size: 3.18 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

poojamalagund/time-series-forecasting
Predicting the monthly electricity consumption for 3248 households in the coming year (January to December), provided with historical half-hourly energy readings for the 3248 smart meters.
Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

hellomasaya/air-pollution-in-delhi
Analysis and prediction of air pollutant concentration and AQI using Prophet and SARIMAX
Language: Jupyter Notebook - Size: 44.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

ayush0605/Demand-Forecasting-using-Python
Demand forecasting using ARIMA Model and fb_prophet.
Language: Jupyter Notebook - Size: 4.84 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Aysenuryilmazz/TimeSeries-and-Forecasting
Time Series & Forecasting for Australia Tourism
Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

mclu/CAI_OLDW_prophet
Used prophet to forecast enrollments for courses published on Coursera for Michigan
Language: HTML - Size: 11.3 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

smitkiri/predicting-dengue-fever-outbreaks
Predicting Dengue Fever outbreaks in San Juan and Iquitos
Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

subrata-samanta/Forecasting-Sales-with-Prophet-and-Time-Series-Analysis
Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual managers predicting sales based on their unique circumstances, the accuracy of results can be quite varied.
Language: Jupyter Notebook - Size: 7.09 MB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 1

MuhammadAli7896/AIES-CCP-Project
This forecast and sentiment analyzer of stocks leverages financial news, social media trends, and historical market data to predict future price movements and gauge investor sentiment with high accuracy.
Language: Python - Size: 1.09 MB - Last synced at: 3 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

hanifkia/CountCast
A Python package for forecasting integer counts in stationary time series using MSTL, Prophet, and SARIMA with conditional seasonalities.
Language: Python - Size: 0 Bytes - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

RebeccaMorolong/stockpredictionanalysis.ipynb
The project demonstrates practical applications of time series analysis, regression techniques, and visualization methods, making it a valuable resource for anyone interested in financial data analysis, machine learning, or investment strategies.
Size: 3.91 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Jayadev445/Crime-rate-using-fbprophet
Crime Rate Prediction Using Facebook Prophet, and a web application using Flask
Language: Jupyter Notebook - Size: 508 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SBrouck/chicago-construction-ts-modeling
Time series modeling of new construction permit volumes in Chicago. Includes feature engineering, model benchmarking (RF, XGBoost, Prophet), and forward forecasting until Dec 2025. Developed from a real-world investment analyst use case.
Language: Jupyter Notebook - Size: 6.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Ad-Chekk/ML_models
This repo includes testing of various machine learning models like Prophet model and evaluating their performance using various metrics like RMSE etc
Language: Jupyter Notebook - Size: 667 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Dipti-Gupta1/Time-Series-Forecasting-Projects
This repository contains implementations of various time-series forecasting models, including LSTM, Temporal Fusion Transformer (TFT), and Prophet. Each model is structured in its own directory, with scripts for training, tuning, and evaluation.
Size: 622 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

yogeshsinghkatoch9/Stock_Price_Forecasting_System
this repository contains a comprehensive, end-to-end pipeline for forecasting stock prices using a blend of advanced statistical methods and deep learning models. The system is designed to download historical stock data, preprocess and engineer features, and then generate forecasts using multiple models before combining them with an ensemble.
Language: Python - Size: 65.4 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

JohnJoshua007/Avocado-Prices-Prediction-using-Prophet
This is a Time series forecasting project of Avocado Prices using Facebook's Prophet Model
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

JohnJoshua007/Crime-Rate-Prediction-using-Prophet
This is a Time series based forecasting project based on Crime Rates in New York from 2006-2018 using Facebook Prophet
Language: Jupyter Notebook - Size: 437 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tuni56/demand-forecasting-system
Build predictive analytics solution for inventory management.
Language: Python - Size: 7.81 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

prateekmaj21/Solar-Power-Generation-Prediction
Solar Power Generation Prediction Based on Entire Data of 2006 in Alabama, US.
Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 0 - 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.
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ratiarumfy/DataScienceProject
Forecasting Infaltion Rate using Ridge/Lasso Regression and Prophet Time Series
Language: Jupyter Notebook - Size: 528 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

EricaYanoshak/Decoding-UFO-Sightings
This project analyzed documented UFO sightings by examining trends, identifying active states, categorizing sightings, and mapping patterns across the U.S. Predictive modeling then forecasted sightings by state and shape, offering valuable insights for researchers and enthusiasts alike.
Language: Jupyter Notebook - Size: 35.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

wangzes-kevo/nyc-property-sales-forecast
Repo for NYC Property Sales Forecasting
Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

gargisharmaa/Fast-Food-Stock-Price-Analysis-and-Prediction
This project provides a comprehensive approach to analyzing stock data for fast-food companies, automating historical data collection from CSV files and real-time updates using Yahoo Finance. It predicts stock prices for the next 7 days, storing data in a MySQL database that powers a Power BI dashboard for dynamic visualizations.
Language: Jupyter Notebook - Size: 1.43 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

iamrajharshit/Stock-Pred-WebApp
This project uses the yfinance library to fetch real-time stock data and the Prophet library to make predictions. The goal is to create a model that can accurately forecast stock prices based on historical data.
Language: Python - Size: 4.7 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

marcopellegrinoit/web-traffic-time-series-predictions
Forecast Web Traffic Demand Time Series with ARIMA+ BigQuery and Looker Studio. Addionatel modeling available with ARIMA, LSTM, and Facebook Prophet.
Language: Jupyter Notebook - Size: 8.93 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

blleshi/Growth_Revenue_Model
Growth Revenue Model
Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

im-dpaul/Beer-Production-Analysis-and-Prediction
This project delves into the world of craft beer, analyzing and forecasting monthly beer production trends. It utilizes various time series analysis techniques to uncover patterns and predict future production levels.
Language: Jupyter Notebook - Size: 533 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

CherrrYY123/TSA-of-All-India-Commodities-Price-index
Time Series Analysis of All India Price Index up till January 2019
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wassimsalam01/covid19-forecasting
Making use of prophet model in Python to forecast Covid-19 cases in Berlin & Germany
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thangdang04/Analyze-data-in-an-Udemy-wikipedia-visits-database-using-Python
Data analysis project on an Udemy wikipedia visits database using Python
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Devanshk9/Stock_Predictor
Language: Python - Size: 82 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Priyanshu501/TimeSeries_Analysis
This repository contains a comprehensive analysis of time series data (stock prices), forecasted using various statistical and deep learning models.
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itsmarmot/stockForecasting
This project aims to forecast the stock price of Bank Negara Indonesia (BBNI) from 2012 to 2030 using multiple time series forecasting techniques.
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Kisaa-Fatima/Data-Mining-Project
Time series Forecasting Model Web Application This project is a web application for performing time series forecasting using various models. It utilizes Python for the backend and React, D3.js, HTML, and CSS for the frontend.
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tyler-007/Snape_lstm
MLOPS folder for SNAPE deployment
Language: Python - Size: 2.73 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

verrenangelinasaputra/Monelytics-Stock-Prediction
Monelytics is a web-based platform utilizing Python for stock prediction purposes. It compares approximately nine machine learning and deep learning models and can predict the closing prices of the big four Indonesian banks
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LeonMichel96/ML-Time-Series-Crypto
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