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

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

Time Series Analysis of Zillow data

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…

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

Прогнозирование спроса на такси

Time Series Forecasting on Airline Passengers

Integrated assignment for Machine Learning and Data Visualisation

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.

Hello everyone , the name of this mini project is "CLIMATE CHANGE DATA ANALYSIS" . I have used Python as the coding language. Dickey-Fuller Test is used to find if the time series is having any unit root or not. Time series is a machine learning technique that forecasts target value based solely on a known history of target values.