AI and Machine Learning Assignment Build different time-series models
Use Historical_Data.csv to build different time-series models for each Article ID.
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
PATH OF FILES:
To perform the above exercise carry out the following tasks:
1. Print number of days which sold more than 3 units.
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).
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 matplotlib.pyplot as plt
#Reading the datasets
Skills and expertise
Machine Learning, Python, Pandas, Numpy, matplotlib