BUSINESS ANALYSIS REPORT TIME SERIES FORECASTING JUNE 20, 2021 SANDYA V B CONTENTS 1. Read the data as an appropriate Time Series data and plot the data. 2. Perform appropriate Exploratory Data Analysis to understand the data and also perform decomposition. 3. Split the data into training and test. The test data should start in 1991. 4. Build various exponential smoothing models on the training data and evaluate the model using RMSE on the test data. Other models such as regressi...

Problem: For this particular assignment, the data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century. Dataset - R In [1]: import numpy as np import pandas as pd import seaborn as sns from matplotlib import pyplot as plt from import rcParams rcParams['ze'] = 13, 6 1. Read the data as ...

In [205]: from ets import load_boston import pandas as pd import numpy as np import seaborn as sns import t as plt import as sm from _selection import train_test_split from r_model import LinearRegression from er import KMeans from cs import mean_squared_error from ers_influence import variance_inflation_fac tor import math 1.1. Read the data and do exploratory data analysis. Describe the data briefly. (Check the null values, Data types, shape, EDA). Perform Univariate and Bivari...