GitHub topics: prophet-model
Sehar1320/Data-Science-Analytics-Project
Stock market forecasting using ARIMA, SARIMA, Prophet & LSTM | ZIDIO Internship Project
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Ajain1414/web-analyzer-frontend
(Legacy) This is the frontend for Mazaoro SARLU's lead magnet: "Web Analyzer" inspired by Hubspot's website grader.
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SamHaate/Machine_Learning
This repository contains a variety of Machine Learning Models along with their respective Case Study Reports. It can be used by anyone who wishes to start their journey in Data Science or is keen to upskill themselves!!
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sugapriya-k/Final-Year-Project
An AI-powered personal finance tracker to manage expenses, predict spending, and plan budgets using machine learning.
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rohazshaik07/Covid-19-Cases-Prediction-with-Python
Machine learning project to predict global Covid-19 cases for the next 30 days using Facebook Prophet. Features data preprocessing, geographical and time-series visualizations, and forecasting with confidence intervals. Built with Python, Pandas, Plotly, and Matplotlib.
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aranbarri/time-series-forecasting
A lightweight app to load time series data, forecast the future using Facebook Prophet, and visualize results with Streamlit.
Language: Python - Size: 36.1 KB - Last synced at: 1 day ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

aws-samples/amazon-sagemaker-local-mode
Amazon SageMaker Local Mode Examples
Language: Python - Size: 5.94 MB - Last synced at: 18 days ago - Pushed at: about 2 months ago - Stars: 257 - Forks: 63

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: about 1 month ago - Pushed at: about 1 month 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.
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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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Jayadev445/Crime-rate-using-fbprophet
Crime Rate Prediction Using Facebook Prophet, and a web application using Flask
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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.
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Birmingham-and-Solihull-ICS/winter_predictions
A repository for developing winter predictions and forecasts
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shahgem/CIND-820
Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting
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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
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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.
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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

abhilash1910/Deep_Reinforcement_Learning_Trading
Deep Reinforcement Learning for Trading
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AICoE/prometheus-anomaly-detector 📦
A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
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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.
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SverreNystad/power-predictor
Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features
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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.
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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: 4 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
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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
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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
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tuni56/demand-forecasting-system
Build predictive analytics solution for inventory management.
Language: Python - Size: 7.81 KB - Last synced at: 3 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.
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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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amine-akrout/time-series-forecasting
Benchmarking of different algorithms used fot time series forecasting ARIMA, Prophet, LSTM
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prateekmaj21/Solar-Power-Generation-Prediction
Solar Power Generation Prediction Based on Entire Data of 2006 in Alabama, US.
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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
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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.
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Metaluv/Palette_Training
A notebook of the training for data science from Palette Skills
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piekarsky/Short-Term-Electricity-Price-Forecasting-at-the-Polish-Day-Ahead-Market
Modeling time series of electricity spot prices using Deep Learning.
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wangzes-kevo/nyc-property-sales-forecast
Repo for NYC Property Sales Forecasting
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jroakes/ForecastGA
A Python tool to forecast Google Analytics data using several popular time series models.
Language: Python - Size: 342 KB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 42 - Forks: 10

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.
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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: 4 months ago - Pushed at: 8 months ago - Stars: 1 - 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: 10 months ago - Pushed at: 10 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.
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blleshi/Growth_Revenue_Model
Growth Revenue Model
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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.
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CherrrYY123/TSA-of-All-India-Commodities-Price-index
Time Series Analysis of All India Price Index up till January 2019
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hirenkumawat/M3_Challenge_MTF
Math Modeling M3 Challenge 🏆 Forecasting Small Farmer Losses using Time Series Analysis (Prophet), Ridge Regression
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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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G-akki26/COVID-19
This repository is B.Tech. major project on COVID-19 Global and India Forecast
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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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tyler-007/Snape_lstm
MLOPS folder for SNAPE deployment
Language: Python - Size: 2.73 MB - Last synced at: 12 months ago - Pushed at: 12 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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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.
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grtvishnu/Air-Pollution-Prediction-and-Forecasting
:octocat: Detection and Prediction of Air quality Index :octocat:
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funinkina/Covid19_Data-Time-Series-Analysis
Time Series Analysis of Covid-19 Dataset
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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

tgchacko/COVID-19-Data-Analysis
COVID-19-Data-Analysis
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Nessrin1990/Sales-Forecasting-with-Machine-Learning
Sales Forecasting with Machine Learning
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CosmoJelly/Comprehensive-Time-Series-Forecasting-System-with-GUI
A forecasting system for multiple sectors that uses ARIMA, ETS, SVR, and other models displayed on a user friendly interface with different viewing options.
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Annarhysa/CrimeHawk
An end-to-end application for crime rate detection and crime type classification
Language: JavaScript - Size: 859 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

mohgavin/code-repository
Code Repository
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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: over 1 year ago - Stars: 1 - Forks: 2

weichi21/Time-Series-Analysis-Bike-Sharing-Prediction
Time Series Analysis model application
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jnopareboateng/ml-library
Machine Learning Projects on Time Series Forecasting
Language: Jupyter Notebook - Size: 568 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

easonlai/fb-prophet-stock-prediction-v1
Using Facebook Prophet model to predict HK stock price
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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
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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: over 1 year ago - Stars: 2 - Forks: 0

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

hlz-922/stock-price-forecast
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jigarpatel108/Machine-Learning-Projects-Python
Repository of all my Machine Learning projects using Python
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Francesco-Greco2/My-Portfolio
Here I will upload all my work done during my L4 Data Analyst Apprenticeship.
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AzizMosbah/AppInstallsPrediction
Comparing two methods of time series prediction on an App first time downloads on the AppStore
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Jay-Suthar/TEXT-SUMMARIZATION-USING-BART-T5-PROPHETNET-PEGASUS
TEXT SUMMARIZATION USING -> BART-T5-PROPHETNET-PEGASUS on indic_dataset
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zulfachafidz/Green_Horizon_Forecasting_Peak_Organic_Avocado_Sales_with_the_Prophet_Algorithm
The Green Horizon Project leverages the Prophet algorithm to predict peak sales of organic avocados, supporting the campaign "APEAM GO ORGANIC." Using Python and Looker Studio, this analysis aims to provide deep insight into sales trends and potential, forming the basis of smarter marketing strategies.
Language: Jupyter Notebook - Size: 5.43 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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

Aysenuryilmazz/TimeSeries-and-Forecasting
Time Series & Forecasting for Australia Tourism
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raghavendranhp/Forecasting-Car-Sales-Trends
Elevating Times Series Forecasting of Cars, Truck Sales in UK for precise and competitive forecasting in diverse industries.
Size: 85.9 KB - Last synced at: 4 months ago - Pushed at: over 1 year 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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MarcoZazzini1989/JPMorgan-Chase-virtual-internship-Quantitative-Research
JP morgan virtual internship Quantitative Research
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dteuscher1/Store-Demand-Time-Series
EDA, visualization and model fitting of time series data for the Store Item Demand Forecasting Kaggle competition using the Prophet package. The goal of the competition is to predict the sales of 50 different items at 10 different stores over 3 months. Results would be in the 57th percentile.
Language: R - Size: 3.16 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

gtrunz/car_accident_forecasting
This analysis seeks to forecast the daily number of car accidents in the county of Denver, Colorado using both traditional time series methods from the statsmodels library, as well as the Prophet forecasting framework as implemented in the prophet library.
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MARYAMJAHANIR/DPS-Challenge
AI challenge for the DPS program
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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: 20 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

yakshb/global-water
The Global Water Scarcity Tracker aims to provide an interactive and visual representation of the current and predicted water scarcity across the globe using predictive modeling and Streamlit.
Language: Python - Size: 4.81 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - 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).
Language: Jupyter Notebook - Size: 446 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

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

ankitaguhaoakland/Covid19
Language: Jupyter Notebook - Size: 6.63 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

TheGreatRico/time-series-prediction
Predicting time series using various models.
Language: Jupyter Notebook - Size: 11 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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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ayush0605/Demand-Forecasting-using-Python
Demand forecasting using ARIMA Model and fb_prophet.
Language: Jupyter Notebook - Size: 4.84 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

zhousrhhh/Anomaly-Detection-for-Stock-Price-Data
Anomaly-Detection-for-Tesla-Stock-Price-Data
Size: 2.24 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

007tickooayush/car-sales
Forecasting the car sales time series dataset which is populated with a factor of seasonality in the dataset and the action of forecasting is performed using prophet library in python.
Language: Jupyter Notebook - Size: 150 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

syenirasheila/Predicting-The-Magnitude-And-Location-Of-Earthquakes-In-Indonesia
The purpose of this study is to predict the strength and locations of earthquakes in Indonesia in the coming years and to determine the maximum earthquake strength that will occur in 2024 using Prophet Forecasting model.
Language: Jupyter Notebook - Size: 8.8 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Scipio94/Superstore-Sales-Data-Analysis
Data analysis and projection of the sales data of a global superstore.
Size: 1.49 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - 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

TrilokiDA/Time-Series-Forecasting
code will related to time series data and forecast
Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
