Farheen-Arsalan/Forecasting-Using-Arima-Model

Farheen Shaukat

Data Scientist
pandas
scikit-learn
seaborn

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

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