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"""1393_249_949 |
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Automatically generated by Colab. |
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Original file is located at |
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https://colab.research.google.com/drive/19eXVaZsLkgkAqrqeqYsa8DL1KAXlE7I3 |
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""" |
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import pandas as pd |
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import numpy as np |
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from sklearn.linear_model import LinearRegression |
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from sklearn.model_selection import train_test_split |
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data = pd.read_csv('/content/calories_burned_data.csv') |
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data.head(3) |
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data = pd.get_dummies(data, columns=["Gender"], drop_first = True) |
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y = data[["Calories Burned"]] |
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x = data.drop("Calories Burned", axis=1) |
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x_train, x_test, y_train, y_test = train_test_split(x, y, train_size=0.70, random_state=22) |
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lm = LinearRegression() |
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model = lm.fit(x_train, y_train) |
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model.score(x_test, y_test) |
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data.head(3) |
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model.predict([[18,182,65,20.1,60,9.5,3.00,140,True]]) |
