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*jupyter notebook* In this section, we will use Python to solve (Newton's law of cooling) problem. This involves obtaining a solution of T = k(T-1)

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*jupyter notebook*

In this section, we will use Python to solve (Newton's law of cooling) problem. This involves obtaining a solution of T = k(T-1) Given an initial condition for time and temperature T(O) = 70F, the problem involved iteratively solving the formula, Therefore, you have to apply the formula repeatedly to step out from our initial time to attain the value at the final time. a) Plot both true and estimated temperature versus time (t), where 1 0 :8, and At-0.5. Label both axes, add gridlines and include legends. b) Compute the Mean Square Error (MSE) between them using the following equation, Hint: Use 'np.mean' and 'np.abs'] MSE 1][x6-YOT c) Why do think that there is an error between then

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