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Created about 5 years ago
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hamzanasirr

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Let's say we want to identify certain groups of Facebook users based on their behavior. Some facebook users might not react on the posts. Some people may 'like' react more and use other reactions like 'love' or 'wow' to a very minute extent. Some people may share posts a lot while some may not. Some only react and not comment on posts. Some may comment but react much, etc. We are going to identify such groups with the help of machine learning.

Credit-Card-Fraud-Detection-using-Machine-Learning

In this kernel, we are going to predict whether a credit card is fraud or not using Machine Learning.

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Predicting-Graduate-Admissions-using-Machine-Learning-in-Python

Predicting if a candidate student will get admission or not in a particular university using Machine Learning algorithms in Python.

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Exploratory-Data-Analysis-on-Bank-Customer-Churn-data

Performed EDA on the bank's customer churn data and tried to get some insights.

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Prediction-of-Train-Ticket-Prices-in-Spain-using-Supervised-Machine-Learning

Prediction of Train Ticket Prices in Spain using Supervised Machine Learning Algorithms and then comparing R-Squared coefficient to select the most well-suited model for deployment.

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