project 1: Loan Prediction
Dream Housing Finance company deals in all home loans. The company wants to automate the loan eligibility process (real time) based on customer detail provided while filling online application form. Certain details were provided. To automate this process, they have given a problem to identify the customers segments, those that are eligible for loan amount so that they can specifically target these customers. From the Exploratory Data Analysis that was performed, I was able to generate insight about the data. The model shows how each features relates to the target. Furthermore, from the evaluation I conducted, it can be seen that of all the models employed for the analysis, Logistic Regression Algorithm(LRA) performed far better(83%) than others. Random Forest Classifier(RFC) did better than Decision Tree Classifier(DTC). Support Vector Machine(SVM) also did bettter than K-Nearest Neighbors(KNN).
