Projects
1-Property Price Prediction
Building a linear regression model in R, Python we predict the final price of a property on the basis of its feature including no of room, area ,bathroom, wiring, interior etc.
2-Bank Credit Card Default
Using classification algorithms KNN, Logistic Regression, Decision
tree , we build a model which predict about the customer who is applying for credit card will do default or not
3-Bank Loan Data
Using a linear regression model it has to predict that how much percent of interest for the loan should be given to customer, on the basis of fico-range and cibil score.
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4-Churn analysis telecom industry
Using classification model logistic regression, Decision Tree
we build a model on the basis of previous customer data to predict whether the customer will churn or not .
5-Car Sale Data
Using linear regression model we find the key factor eg. mileage,
weight, no of cylinders, stroke etc. which drives the price of car
6-Heart attack analysis & Prediction
Using 10 classification algorithms , we build a model on the basis of the variable eg. age, gender, cholesterol, BMI etc. to predict the probability of a patient to get heart attack
