AllenLeiZhao/Stock_Price_Forecasting_Investment_Analysis

Time series modeling and comparative forecasting of AAPL and HON stock prices using regression, smoothing, and moving averages in R.

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Kris6657/Forecasting

Case-study-for-Electricity-demand-from-Panama

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

fadeldnswr/iot-traffic-forecasting-backend

This repository is for Signal Processing and Multimedia Services lecture final project. The project theme is about using Time Series Analysis ARIMA Model to predict IoT traffic such as latency, traffic and packet loss.

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 1 - Forks: 0

pintamonas4575/SERTEMP-project-MAADM-UPM

AI models applied to temporal series. Subject from UPM´s master degree in Machine Learning and Big Data

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rafa-rod/Curso-Introducao-Risco-de-Mercado-em-Python---Financial-Risk-Academy

Curso ministrado por mim na Financial Risk Academy (FRA) sobre Introdução ao Risco de Mercado com Python

Size: 40.3 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 2 - Forks: 1

VisvaV/Time-Series-Forecasting

A web-based application for analyzing historical weather data and forecasting future trends using advanced statistical models. Built with Python and Flask, the app provides interactive visualizations, stationarity tests, and predictions using ARIMA and SARIMA models.

Language: Python - Size: 6.23 MB - Last synced at: 17 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 1

SOSPETER03/tesla-stock-forecasting

Predictive modeling for Tesla stock prices using AR, MA, and ARIMA models. A statistical and time-series analysis project using Python.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

hariharmayuresh/NETFLIX-Subscriptions-Forecasting

A time series forecasting project using ARIMA and Python to predict Netflix’s quarterly subscription growth, aiding data-driven decisions in content strategy and business planning.

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

sanyabhanot/Walmart-Sales-Forecasting

A time series model to predict weekly sales of Walmart data consisting of 45 stores located in different regions including store information and monthly sales using ARIMA and Exponential Smoothing.

Language: Jupyter Notebook - Size: 7.63 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

salma2vec/Stock_Price-Financial_Analysis_ARIMA

Stock Price Prediction & Financial Analysis using ARIMA model

Language: Jupyter Notebook - Size: 894 KB - Last synced at: 6 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 1

panayotisp/statsmodels-tsf

Time Series Forecasting using ARIMA and SARIMA models

Language: Jupyter Notebook - Size: 812 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

PietroZanotta/nefele

Rust library for time series modelling and forecasting

Language: Rust - Size: 271 MB - Last synced at: 30 days ago - Pushed at: 10 months ago - Stars: 3 - Forks: 1

Nirva-Patel/Time-Series-Forecasting

This project aims to forecast gold prices using time series techniques. It includes data preprocessing, model training, and evaluation of methods like ARIMA, SARIMA, LSTM, etc. to identify the best-performing model. The repository contains code, data workflows, and model comparisons.

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MuhammadHilmyPutraRisma/Forecasting-Bitcoin-Price-With-ARIMA-Model

Python code for forecasting Bitcoin prices using the ARIMA model. The forecasting is performed to predict Bitcoin prices for the next 7 days based on historical trends.

Language: Jupyter Notebook - Size: 262 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

xraySMULu/golden-state-housing-insights

Housing Price Prediction Analysis

Language: Jupyter Notebook - Size: 153 MB - Last synced at: 21 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 3

gmonaci/ARIMA

Simple python example on how to use ARIMA models to analyze and predict time series.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 320 - Forks: 142

raj2585/Times-Series-Forecasting

Time Series Forecasting done using two models - ARIMA and LSTM

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sharonsamsimpson/Time_Series_Analysis

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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

natgluons/Asian-Australian-Monsoon-Interaction

Project on "Prediction of The Indonesian Monsoon Index Based on Rainfall Anomalies and The Asia-Australian Monsoon Interaction"

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natgluons/Indonesian-Monsoon-Index

Project on "A Simple ANN-ARIMA Hybrid Approach to Indonesian Monsoon Index Prediction and Its Application" (doi: 10.13140/RG.2.2.12253.79845/2)

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

natgluons/FMCG-Data-Modeling

SQL, ARIMA, and K-Means Clustering for data analysis dan customer segmentation regarding sales data

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shortthirdman/BayesianTimeSeriesAnalysis

Bayesian Time Series Analysis in Python (BSTS, BDLM, BNN, B Arima)

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sameer-at-git/Energy-Demand-Forecasting-using-ARIMA

This project uses the ARIMA model to predict future energy demand based on historical data. It includes data preprocessing, model training, and forecasting, with easy-to-follow steps for running the model using Jupyter Notebook.

Language: Jupyter Notebook - Size: 856 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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GabrielMazzotta/Time-Series-Analysis-and-Forecasting_Case-Study

This project focuses on Time Series Analysis techniques, uncovering patterns and leveraging forecasting models to predict future sales trends.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

davidtstill/Time_Series_Analysis

Testing various time-series tool to predict future movements in the value of the Japanese yen versus the U.S. dollar.

Language: Jupyter Notebook - Size: 212 KB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

adilrasheed139/Google-Stock-Price-Prediction-using-ARIMA-Model

Time Series Forevasting with ARIMA Model for prediction of Google Stock Price based on historical data.

Language: Jupyter Notebook - Size: 386 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

HoangVanTruc/RealEstateInvestment-RegressionModel

Analysis of Factors Affecting the Real Estate Investment Decision of Nam Long Investment Corporation Using Regression Models in R

Language: R - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

das-amlan/Stock-Price-Forecasting

Stock Price Forecasting using ARIMA model

Language: Jupyter Notebook - Size: 386 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

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: 3 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

jash0803/crop_time_series_forcasting

Development of AI-ML based models for predicting prices of agri-horticultural commodities such as pulses and vegetable (onion, potato, onion)

Language: Jupyter Notebook - Size: 516 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

DidierRLopes/UnivariateTimeSeriesForecast

PhD Thesis: "Data Science in the Modeling and Forecasting of Financial Timeseries: from Classic methodologies to Deep Learning"

Language: Jupyter Notebook - Size: 18.1 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 29 - Forks: 3

amsayandeep/Predictive-Analytics-for-Price-Stabilization-of-Essential-Commodities

This repository contains my work, in machine learning hackathon, hosted by Shore Fest 2025 Community, Gitam University.

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lostdir/btcprediction

Language: HTML - Size: 3.68 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

StevenRice99/LLM-Forecast

A Novel Hybridized Forecasting Technique Utilizing ARIMA and Large Language Models

Language: Python - Size: 123 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Shailesh-Padhariya/Airline-Passengers-Time-Series

This project explores multiple time series forecasting techniques, including Facebook Prophet, ARIMA, and SARIMAX, to predict airline passenger trends. It compares the effectiveness of each model in capturing seasonality and long-term patterns

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Urvee1810/Air-quality-prediction-using-ARIMA

Analyzed Beijing's air quality data using time series analysis and ARIMA modeling to forecast PM2.5 pollution levels. Identified seasonal patterns and correlations between pollutants, revealing insights into urban air quality trends and potential contributing factors.

Language: Jupyter Notebook - Size: 2.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

MGN19/Forecasting-CS-GO-player-count

Forecasting the player count for the game CS:GO.

Language: HTML - Size: 1.59 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 49.2 MB - Last synced at: 22 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Kisaa-Fatima/Bitcoin-Daily-Price-Forecasting-Using-Time-Series-Analysis

This project involves exploring, building, and evaluating different time series forecasting models to predict the daily closing prices of Bitcoin. The models compared include Linear Regression, Polynomial Regression, and ARIMA.

Language: Jupyter Notebook - Size: 592 KB - Last synced at: 22 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

DataBells/time_series_analysis

Domain: Sales; Time series analysis is an important skill for a data analyst.especially if you work in industries where data changes over time (e.g., finance, economics, operations, sales, or marketing).

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

jinit24/ARIMA-Model

ARIMA model from scratch using numpy and pandas.

Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 22 - Forks: 10

kaushiksurbhistats/bayesian-forecasting

Language: Python - Size: 11.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

amine-akrout/time-series-forecasting

Benchmarking of different algorithms used fot time series forecasting ARIMA, Prophet, LSTM

Language: Jupyter Notebook - Size: 21.4 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

Aparna-analyst/Time-Series

The Time Series Analysis repository contains various models and techniques used for analyzing time-dependent data.

Size: 1.24 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

StefaniToto/Trading-Algorithms-AI

Time Series Analysis, Decision Trees and Random Forests, Sentiment Analysis, Neural Networks and Genetic Algorithm

Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sushant1827/ARIMA-for-Industrial-Production

Explains how to use ARIMA model to forecast future production units, enabling informed decision-making and planning in the electric and gas utilities sector.

Language: Jupyter Notebook - Size: 383 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

rustamhidayatsimatupang/BayesArima

BayesARIMA

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cherifon/CO2_Forecasting

Forecasting CO2 Levels Using STM32 Sensor Data and Time Series Analysis

Language: Jupyter Notebook - Size: 267 KB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

virajvaidya/TimeSeriesAnalysis

A collection of assessments in Time Series Analysis completed as part of my Econometrics program.

Language: Jupyter Notebook - Size: 29.1 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

ashithapallath/Anomaly-Detection-in-Transactions-Using-ML

This project focuses on anomaly detection in financial transactions, using advanced machine learning techniques to identify unusual or suspicious activity. The goal is to develop a system capable of detecting fraudulent transactions by analyzing patterns and detecting deviations from normal behavior in real-time transaction data.

Language: Jupyter Notebook - Size: 76.2 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Soumyadipta2020/ISI_summer_internship_soumyadipta 📦

ISI Summer Internship

Language: R - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

esha-sm/ForecastX

This is an interactive web application for forecasting sales data using the ARIMA model. Users can upload their own CSV files or use a default dataset to generate forecasts and visualizations.

Language: Jupyter Notebook - Size: 70.3 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cferggie/Predicting-Bitcoin-Returns-with-Long-Short-Term-Memory-LSTM-Neural-Networks

I wrote all the code and every section besides the intro.

Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0

yusuf2414/Life_Expectancy

Life_expectancy at Birth Prediction using Lee Carter Model with Arima

Language: R - Size: 35.2 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

haroldeustaquio/Data-Mining-UNAM

This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.

Language: Jupyter Notebook - Size: 11.2 MB - Last synced at: 24 days ago - Pushed at: 6 months ago - Stars: 6 - Forks: 2

aks7896/Forecasting-Wine-Sales-for-ABC-Estate-Wines-company

Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits.

Language: Jupyter Notebook - Size: 12.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

taleblou/ARIMA-Price-Prediction

This repository implements an ARIMA model for predicting financial prices such as stocks, currencies, and cryptocurrencies. It focuses on time series forecasting to capture temporal dependencies and improve prediction accuracy across different financial datasets.

Language: Python - Size: 2.94 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

vivek081202/GreenShift-Carbon_Footprint_Tracker

The Green Shift project aims to empower users to track their personal carbon footprints and visualize their impact on the environment. By leveraging machine learning, Green Shift provides personalized insights, future carbon footprint predictions, and recommendations to help users adopt eco-friendly habits while showcasing global climate trends.

Language: Python - Size: 951 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Sama-Amr/Analysis-of-Population-Time-Series

The purpose of our analysis is to observe the population trend over the years in the US and forecast the population for the next 5 years.

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subhan-liaqat/Google-Stock-Price-Prediction-using-ARIMA-Model

Time Series Forevasting with ARIMA Model for prediction of Google Stock Price based on historical data.

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

yasirusama61/Time-Series-Analysis

🌟 **Time Series Forecasting for Industrial Wastewater** Predicting heavy metal concentrations using advanced models like **ARIMA** and **PSO-LSTM**, blending statistical and machine learning techniques to enhance wastewater treatment efficiency. 🚀

Language: Jupyter Notebook - Size: 2.99 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

Apozzi/Harima

Harima is a Haskell library designed for time series analysis and forecasting using the ARIMA (AutoRegressive Integrated Moving Average) model.

Language: Haskell - Size: 25.4 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Flavio-Mangione/Nvidia-Analysis

This project involves analyzing the relationship between Nvidia and AI technologies. The notebook covers data pre-processing steps, including importing necessary libraries and loading data. Further analysis and insights into Nvidia's impact on AI and related trends are provided.

Language: Jupyter Notebook - Size: 5.45 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

msamprovalaki/BitcoinClosePricePrediction

University Project in Machine Learning about Bitcoin Close Price Prediction

Language: Jupyter Notebook - Size: 8.19 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 4

Nitin-Sagar-B/flowscope

Enhancing Decision Making and Prediction Optimization using the HybridFlow Forecast Model

Language: Python - Size: 26.4 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

MainakRepositor/AnyStock

Advanced stock market view

Language: Python - Size: 3.1 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

InnerShadow/UDSpredictor

PyTorch model to predict how much belarusian rubels will cost 1 USD

Language: Jupyter Notebook - Size: 6.93 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

spsanderson/healthyR.ts

A time-series companion package to healthyR

Language: R - Size: 315 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 19 - Forks: 3

9erikSantos6/ARIMA-Stock-Predictor

Stock price predictor using time series models

Language: Python - Size: 7.72 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 2

KaramiMostafa/CNS_prediction

The study investigates the correlation between air pollution and Central Nervous System (CNS) disease mortality in Italy, focusing on neurodegenerative diseases such as Alzheimer's and Parkinson's.

Language: Python - Size: 1.07 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

Xernnn/TSA-Midterm

Time Series Data and Analysis Course Project - Predict HPG and MWG Stock Prices using ARIMA, LSTM, and GRU model

Language: Jupyter Notebook - Size: 4.29 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

PatrickUlbrich/Forecasting-Fuel-Prices

Repo for a study project in forecasting in R during my Masters Degree in Data Science.

Language: TeX - Size: 681 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

lucaswychan/neural-stock-prophet

LSTM-ARIMA with attention mechanism and multiplicative decomposition for sophisticated stock forecasting.

Language: Python - Size: 6.1 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 4 - Forks: 1

LALITSVJ/Airline-Passengers-Forecasting-using-ARIMA-SARIMA

Forecasting the passengers count travelling by an airline using ARIMA and SARIMA model

Language: Jupyter Notebook - Size: 568 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

adi090104/stock_analysis

stock price analysis using the ALPHA VANTAGE API and doing an exploratory data analysis and interactive visualisation and predicting the price using ARIMA Model and asking the user to buy or sell

Language: Python - Size: 102 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

aahouzi/Stock-price-forecasting

An overview of various quantitative techniques and trading strategies for predicting stock prices, based on historical data from YahooFinance.

Language: Jupyter Notebook - Size: 5.86 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 2

codeasarjun/EnergyVision

Energyvision

Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

peeti-sriwongsanguan/cicd-mlops-timeseries-walmart

END-to-END MLOps CICD pipeline using MLflow for model tracking and experimenting and Amazon S3 for storing model artifacts.

Language: Python - Size: 4 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

kayannr/exports_TSA

Language: HTML - Size: 1.94 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

SayanSomya/Stock-Price-Predictor

Stock Price Prediction

Language: Jupyter Notebook - Size: 380 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

blackhat955/RealTimeStockPrediction

This project analyzes time series data for the "Magnificent 7" stocks: GOOG, TSLA, AMZN, AAPL, MSFT, META, and NVDA. It covers time series decomposition, visualization, and forecasting using LSTM, regression, and ARIMA models. The work includes detailed analysis of stock prices and fundamentals, providing comprehensive insights and predictions.

Language: Jupyter Notebook - Size: 196 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

aidanastridge/from-sas-to-python

All of these previous analyses were done in SAS. I transitioned them over to Python to practice the language.

Language: Jupyter Notebook - Size: 1.06 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

chandkund/Time-Series-Forecasting

A time series forecasting project using the Airline Passenger dataset. This project leverages ARIMA modeling to predict future passenger numbers by analyzing historical trends and seasonality from 1949-1960. The results demonstrate effective forecasting for better business planning.

Language: Jupyter Notebook - Size: 135 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

victor-malheiro/time_series_study

Study of the Carbon Dioxide Emissions From Energy Consumption in USA time series

Language: R - Size: 854 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - 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: 10 months ago - Pushed at: 10 months ago - Stars: 8 - Forks: 5

PERAMPRAKASH/BITCOIN-PRICE-PREDICTION-USING-MACHINE-LEARNING

Prediction of the decentralized Bitcoin's price based on the previous data obtained from the yfinance library

Language: Jupyter Notebook - Size: 632 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Reddi-Srija-R/Time-Series-Forecasting

Novo Nordisk Stock Forecasting

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

koke3/Global_EV_Analysis_streamlit

Step into the future of transportation with our cutting-edge Global EV Analysis project! This interactive web application is designed for enthusiasts, researchers, and policymakers alike, providing deep insights into the electric vehicle (EV) market worldwide.

Language: Jupyter Notebook - Size: 326 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Yaswanth1702/Time-Series-Analysis-and-Forecasting-for-Air-Passengers-Data

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

BNTechie/Timeseries-forecasting

Forecasting monthly sales witNh LSTM, Forecasting with RNN, Vector-autoregressive model

Language: Jupyter Notebook - Size: 907 KB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 3

MJanbandhu/Time_Series-Stock_Prediction

Just trying to predict random stock using AR, MA, ARMA and ARIMA with Stationarity methodology .

Language: Jupyter Notebook - Size: 9.98 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

Suditi1101/Stock-Exchange-Data-Modelling

Language: Jupyter Notebook - Size: 1000 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

kaypro283/SmoothTrend

SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.

Language: Python - Size: 245 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

itsmarmot/stockPrice-forecasting

The stock price forecasting results for 5 leading technology companies: Meta (META), Tesla (TSLA), NVIDIA (NVDA), Microsoft (MSFT), and Apple (AAPL). This analysis uses three popular prediction models: LSTM (Long Short-Term Memory), ARIMA (AutoRegressive Integrated Moving Average), and FBProphet.

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alejomd17/Series_de_tiempo_en_Python

Gráficos de tendencia, Modelo de Regresión Lineal y Estimación de modelo ARIMA de series de tiempo

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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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Tokyo254/Weather-Forecast

Weather parameters forecast by applying ARIMA model in order to accurately predict the parameters.

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