Hello Friends,
Machine learning, more specifically the field of predictive modeling is primarily concerned with minimizing the error of a model or making the most accurate predictions possible, at the expense of explainability. Linear regression was developed in the field of statistics and is studied as a model for understanding the relationship between input and output numerical variables, but has been borrowed by machine learning. It is both a statistical algorithm and a machine learning algorithm. Below notebook helps you to understand the implementation of Linear Regression with the help of Python Numpy Library.
If you like our work, please up vote the notebook in Kaggle
To learn more on Linear Regression, Kindly have a look on the book “The Monk who knew Linear Regression (Python)”
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