Farheen-Arsalan/Forecasting-Using-Arima-Model

Farheen Shaukat

Forecasting Using Arima Model

A Time Series is defined as a series of data points recorded at different time intervals. The time order can be daily, monthly, or even yearly. Time Series forecasting is the process of using a statistical model to predict future values of a time series based on past results. Forecasting is the step where we want to predict the future values the series is going to take. Forecasting a time series is often of tremendous commercial value.
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Authors

Farheen

Installation

from statsmodels.tsa import seasonal
import statsmodels.api as st
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

Full stack Data Scientist
Hi, I'm Farheen!

1.Python
2.Machine Learning
3.Deep Learning
4.Data Science
5.Power Bi
6.Tableau
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Posted Jun 15, 2023

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