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rathpr3 / Lead_Score-Logistic-Regression

X Education has appointed you to help them select the most promising leads, i.e. the leads that are most likely to convert into paying customers. The company requires you to build a model wherein you need to assign a lead score to each of the leads such that the customers with higher lead score have a higher conversion chance and the customers with lower lead score have a lower conversion chance. The CEO,in particular,has given a ballpark of the target lead conversion rate to be around 80%..

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Lead_Score-Logistic-Regression-Classification(Supervised Learning)

X Education has appointed you to help them select the most promising leads, i.e. the leads that are most likely to convert into paying customers. The company requires you to build a model wherein you need to assign a lead score to each of the leads such that the customers with higher lead score have a higher conversion chance and the customers with lower lead score have a lower conversion chance. The CEO,in particular,has given a ballpark of the target lead conversion rate to be around 80%.. stack Overflow

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X Education has appointed you to help them select the most promising leads, i.e. the leads that are most likely to convert into paying customers. The company requires you to build a model wherein you need to assign a lead score to each of the leads such that the customers with higher lead score have a higher conversion chance and the customers with lower lead score have a lower conversion chance. The CEO,in particular,has given a ballpark of the target lead conversion rate to be around 80%..