AI and Machine Learning Assignment Build different time-series models

Use Historical_Data.csv to build different time-series models for each Article ID.

Problem Statement: 
You are provided with a “Historical_Data.csv”  from a company named ABC which sell products online. 
The dataset (Historical data)contains sales record (on daily basis ) from different
countries.

PATH OF FILES:
Historical_Data.csv: https://media-
doselect.s3.amazonaws.com/generic/MJjpYqLzv08xAkjqLp1ga1Aq/Historical_Data.csv
To perform the above exercise carry out the following tasks:
1. Print number of days which sold more than 3 units.

Hint: 
01/08/2017   | IN | 2
01/08/2017   | FR | 3
Total sale for the day will be (3+2) = 5
2. Print sales of the country(FR) in the month of August. 
3. Print total units sold in the country(AT).

Output Format:
 Perform the above operations and write your output to a file named output.csv,
which should be present at the location /code/output/output.csv
 output.csv should contain the answer to each question on consecutive rows.

from pyramid.arima import auto_arima
import pandas as pd
import numpy as np
import datetime
import matplotlib.pyplot as plt
#Reading the datasets
historical_Data=pd.read_csv('https://media-
doselect.s3.amazonaws.com/generic/MJjpYqLzv08xAkjqLp1ga1Aq/Historical_Dat
a.csv')

Project Numbers

Skills and expertise

Machine Learning, Python, Pandas, Numpy, matplotlib

Expert level

Experienced developer

Project Type

Basic project

Project Gallery

1/1

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