The Perceptron

Posted on Leave a commentPosted in Classification, Machine Learning

1. Introduction Most tasks in Machine Learning can be reduced to classification tasks. For example, we have a medical dataset and we want to classify who has diabetes (positive class) and who doesn’t (negative class). We have a dataset from the financial world and want to know which customers will default on their credit (positive […]

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Regression, Logistic Regression and Maximum Entropy part 2 (code + examples)

Posted on 8 CommentsPosted in Classification, Sentiment Analytics

update: The Python code for Logistic Regression can be forked/cloned from my Git repository. It is also available on PyPi. The relevant information in the blog-posts about Linear and Logistic Regression are also available as a Jupyter Notebook on my Git repository.   Introduction In the previous blog we have seen the theory and mathematics behind the […]

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Regression, Logistic Regression and Maximum Entropy

Posted on 4 CommentsPosted in Classification, Machine Learning, Sentiment Analytics

update: The Python code for Logistic Regression can be forked/cloned from my Git repository. It is also available on PyPi. The relevant information in the blog-posts about Linear and Logistic Regression are also available as a Jupyter Notebook on my Git repository. 1. Introduction One of the most important tasks in Machine Learning are the Classification tasks […]

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