Performance Analysis of Linear Regression Based on Python

Python language has become the most popular machine learning language because of its simplicity, readability and expansibility. By expanding the library NumPy, it can achieve fast array processing. At the same time, Python can directly implement machine learning algorithm by extending TensorFlow framework, but there is a lack of quantitative analysis among different methods. This paper simulates different amounts of data and then realizes linear regression with NumPy library and TensorFlow framework respectively. By comparing the calculation time of the same number of iterations and the analysis of the same number of iterations with the same accuracy, A quantitative data analysis is given, which provides some reference for the practical application of NumPy library and TensorFlow framework.