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Executive Summary The Capstone Project of the Johns Hopkins Data Science Specialization is to build an NLP application, which should …

Executive Summary The Capstone Project of the Data Science Specialization in Coursera offered by Johns Hopkins University is to build …

We have discussed the basic ideas of logistic regression in previous post. The purpose of logistic regression is to find the optimal …

In previous series of posts we discussed simple and multivariate linear regression that can be used to predict target features with …

In the previous articles we have discussed the basic concept of simple linear regression; how to measure the error of the regression …

Choosing Learning Rate We introduced an important parameter, the learning rate \(\alpha\), in Linear Regression 2 – Gradient Descent …

The Simple Linear Regression can only handle the relationship between the target feature and one descriptive feature, which is not …

Why We Need Gradient Descent In the previous article, Linear Regression 1 – Simple Linear Regression and Cost Function, we introduced …

How to represent a model in simple linear regression, and how to calculate the cost function to determine the fitness of the model.

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