nduprincekc · March 9, 2021 09:19 · nduprincekc · Mar 9, 2021
diff --git a/predict_iphone_iphone.py b/predict_iphone_iphone.py
 import pandas
 from sklearn.linear_model import LinearRegression

 user = input('enter the price of iphone you want to know the predicted price: ')

 data = pandas.read_csv('iphone_price.csv')
 model = LinearRegression()
 ode = LinearRegression()

 ode.fit(data[['version']], data[['price']])

 print(ode.predict([[user]]))
diff --git a/predict_iphone_iphone_price.csv b/predict_iphone_iphone_price.csv
	import pandas
	from sklearn.linear_model import LinearRegression

	user = input('enter the price of iphone you want to know the predicted price: ')

	data = pandas.read_csv('iphone_price.csv')
	model = LinearRegression()
	ode = LinearRegression()

	ode.fit(data[['version']], data[['price']])

	print(ode.predict([[user]]))
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