Social networks dataset contains the data about gender, age, estimated salary and purchased(binary 1 if purchase is made and 0 if there is no purchase). Our goal is to classify the customers based on their age, estimated salary and whether they made a purchase or not. Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification.
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RoobiyaKhan/Classification-Models-Using-Python
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Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python
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