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https://github.com/ngirimana/ml_logistcs-regression

In this project we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user. This data set contains the following features: * 'Daily Time Spent on Site': consumer time on site in minutes * 'Age': cutomer age in years * 'Area Income': Avg. Income of geographical area of consumer * 'Daily Internet Usage': Avg. minutes a day consumer is on the internet * 'Ad Topic Line': Headline of the advertisement * 'City': City of consumer * 'Male': Whether or not consumer was male * 'Country': Country of consumer * 'Timestamp': Time at which consumer clicked on Ad or closed window * 'Clicked on Ad': 0 or 1 indicated clicking on Ad
https://github.com/ngirimana/ml_logistcs-regression

artificial-intelligence logistic-regression machine-learning machine-learning-algorithms python3

Last synced: 8 months ago
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In this project we will be working with a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement. We will try to create a model that will predict whether or not they will click on an ad based off the features of that user. This data set contains the following features: * 'Daily Time Spent on Site': consumer time on site in minutes * 'Age': cutomer age in years * 'Area Income': Avg. Income of geographical area of consumer * 'Daily Internet Usage': Avg. minutes a day consumer is on the internet * 'Ad Topic Line': Headline of the advertisement * 'City': City of consumer * 'Male': Whether or not consumer was male * 'Country': Country of consumer * 'Timestamp': Time at which consumer clicked on Ad or closed window * 'Clicked on Ad': 0 or 1 indicated clicking on Ad

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# logistcs-regression