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

ARIMA is an acronym that stands for AutoRegressive Integrated Moving Average. It is a class of model that captures a suite of different standard temporal structures in time series data. In statistics and econometrics, and in particular, in time series analysis, an autoregressive integrated moving average model is a generalization of an autoregre…

Forecast the Airline Flight Demand Using ARIMA and AR

This repository contains a research paper I completed for my Time Series Econometrics class.

Integrated assignment for Machine Learning and Data Visualisation

A project from the Career Foundry Data Analytics Bootcamp focused on time series data.

Прогнозирование спроса на такси

Time Series Forecasting on Airline Passengers

Time Series Analysis of Zillow data

Study project for Yandex Practicum

Analyze trends and forecast daily revenues.

Detailed implementation of various time series analysis models and concepts on real datasets.

Time Series Forecasting on Gasoline Production

Taxi demand forecasting for the next hour , given historical data, as well as calendar signs, previous values, and a moving average.

A time-series analysis with ADF test used for checking the stationarity and the presence of a unit root in the data.