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ahmet taspinar
  • Eindhoven
  • Netherlands
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ahmet taspinar posted a blog post

The Perceptron Algorithm explained with Python code

1. IntroductionMost 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 class) and which customers will not (negative class). To do this, we can train a Classifier with a ‘training dataset’ and after such a Classifier is trained (we have…See More
Dec 24, 2016
ahmet taspinar's blog post was featured

The Perceptron Algorithm explained with Python code

1. IntroductionMost 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 class) and which customers will not (negative class). To do this, we can train a Classifier with a ‘training dataset’ and after such a Classifier is trained (we have…See More
Dec 24, 2016
ahmet taspinar's blog post was featured

Regression, Logistic Regression and Maximum Entropy

One of the most important tasks in Machine Learning are the Classification tasks (a.k.a. supervised machine learning). Classification is used to make an accurate prediction of the class of entries in the test set (a dataset of which the entries have not been labelled yet) with the model which was constructed from a training set. You could think of classifying crime in the field of Pre-Policing, classifying patients in the Health sector, classifying houses in the Real-Estate sector. Another…See More
Mar 30, 2016

Profile Information

My Website or LinkedIn Profile (URL):
http://ataspinar.wordpress.com
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Web Analytics
Years of Experience in Analytical Role:
5
Professional Status:
Technical
Your Job Title:
Software Engineer

Ahmet taspinar's Blog

The Perceptron Algorithm explained with Python code

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 class) and which customers will not (negative class).

To do this, we can train a Classifier with a ‘training dataset’ and after such a Classifier is…

Continue

Posted on December 22, 2016 at 10:30am

Regression, Logistic Regression and Maximum Entropy

One of the most important tasks in Machine Learning are the Classification tasks (a.k.a. supervised machine learning). Classification is used to make an accurate prediction of the class of entries in the test set (a dataset of which the entries have not been labelled yet) with the model which was constructed from a training set. You could think of classifying crime in the field of Pre-Policing, classifying patients in the Health sector, classifying houses in the Real-Estate sector.…

Continue

Posted on March 29, 2016 at 8:00am

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