arima-forecasting

A hybrid forecasting model combining LSTM for sequence prediction and ARIMA for error correction. This repo demonstrates improved accuracy in financial trend prediction, showcasing training processes, error analysis, and performance metrics.

stock-price-prediction stock-data lstm-neural-networks arima-model arima-forecasting

UpdatedNov 12, 2023
Python

nikhils10 /Time-Series-Forecasting-Apple-Stock-Price-Using-SARIMA-Prophet

Star27

Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.

python valuation stock-price-prediction prophet statsmodels fundamental-analysis arima-forecasting timeseries-forecasting

UpdatedJan 25, 2022
Jupyter Notebook

jinit24 /ARIMA-Model

Star25

ARIMA model from scratch using numpy and pandas.

python arma forecasting arima forecasting-models arima-model arima-forecasting autoregression autoregressive-moving-average arma-model

UpdatedJul 14, 2021
Jupyter Notebook

AaronFlore /Forecasting-Bitcoin-Prices

Star23

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

finance machine-learning deep-learning bitcoin model-comparison xgboost-model ltsm time-series-forecasting arima-forecasting prophet-model

UpdatedAug 3, 2021
Jupyter Notebook

MajorLift /volatility-modeling-python-datasci

Star22

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."

data-science numpy jupyter-notebook pandas python3 seaborn regression-models research-paper statsmodels value-at-risk time-series-analysis pyplot financial-engineering risk-modelling granger-causality arima-forecasting volatility-modeling garch-model data-vizualization scipy-stats

UpdatedJan 15, 2025
HTML

sohilsshah91 /Spatio-Temporal-Crime-Analysis-Time-Series-NYC

Star20

This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in…

r python3 jupyter-notebooks demographics crime-analysis leafletjs geospatial-analysis pearson-correlation arima-forecasting nyc-opendata timeseries-forecasting

UpdatedJun 12, 2018
Jupyter Notebook

spsanderson /healthyR.ts

Star19

A time-series companion package to healthyR

machine-learning ggplot2 r ai time-series modeling forecasting rstats r-package workflows prophet ets time-series-analysis r-stats arima-model arima-forecasting

UpdatedDec 9, 2025
R

GUOxingyu3018 /Tourist_Predict--A-case-of-Shangahi

Star19

不同时间序列预测方法对上海旅游规模进行预测

python time-series lstm-neural-networks arima-forecasting

UpdatedMar 16, 2019
Python

atifkarim /Time-Series-Forecasting-Using-Machine-Learning-Algorithm

Star18

Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME software. Now the goal is to do the prediction/forecasting with machine learning. The idea is to check the result of forecast with univariate and multivariate time series data. Regression method, Statistical method.

data-science machine-learning big-data deep-learning time-series neural-network numpy pandas lstm python36 regression-models evaluation-metrics lstm-neural-networks scikitlearn-machine-learning regression-analysis arima-forecasting