ARCH models in Python

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Econometric Analysis of Explosive Time Series

Bitcoin price prediction using ARIMA Model.

Stationarity check using the Augmented Dickey-Fuller test from Scratch in Python

Pair Trading Analysis & Exercises Toolkit [Jupyter Notebook]

R Package for Bootstrap Unit Root Tests

Can a Long Short-Term Memory Model Produce Accurate Stock Price Predictions?: A Deep Learning Approach to Predicting Apple Inc. Stock Price.

Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions

Implementation of LSTM time series tuned with GRU.

Impact of macroecomonic variables on S&P 500

ARIMA and GARCH modelling

This folder contains all the machine learning projects like numbers, text, timeseries etc.

Time Series Analysis

MATLAB implementation of the DF-GLS unit root test of Elliott, Rothenberg & Stock (1996), with 3 optimal lag-length selection methods (SIC, MAIC, Sequential-t) for selecting the lagged terms in the underlying ADF regression.

Laboratorio numero 3 de la clase Data Science para predecir series de tiempo en predicción de importaciones de gasolina

Time Series Forecasting using ARIMA

Data Visualization and Predictive model using Python

Simulate Time Series Diagnostics

Modelo de machine learning con series temporales que predice la cantidad de taxis para la próxima hora.