Logistic Regression with TensorFlow. In the previous post we’ve seen the basics of Logistic Regression & Binary classification. Now we’re going to see an example with python and TensorFlow . On this example we’re going to use the dataset that shows the probability of passing an exam by taking into account 2 features: hours studied vs hours slept . First, we’re going to import the dependencies: Now we’re building the logistic regression model with TensorFlow : Our accuracy is 86% not too bad with a dataset of only 100 elements. The optimization of the cost function is as follows: So, our linear regression example looks like follows:
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