AparajitaMukherjee/Credit-Risk-Modeling-ARIMA-Time-Series-Forecasting-ADF-Test

Stars
1
Language
R
Created almost 4 years ago
Updated almost 4 years ago

AparajitaMukherjee/Credit-Risk-Modeling-ARIMA-Time-Series-Forecasting-ADF-Test

AparajitaMukherjee

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

ARIMA, Time Series Forecasting, ADF Test

Prediction-of-Diabetes-in-Women-Logistic-Regression-Model-Comparison-Predictive-Analytics-

The primary objective was to predict the occurrence of Diabetes in Women, given the personal details of a female. A Logistic Regression Model was developed and validated with test data to predict the chances of someone suffering from the disease.

Customer-Satisfaction-ANOVA-Linear-Regression-Factor-Analysis-

The objective of the project is to use the dataset Factor-Hair-Revised.csv to build a regression model to predict satisfaction. Project Approach: Data Exploration, Collinearity of the variables, Initial Regression analysis, Factor Analysis, Labelling and interpreting of the factors. Regression analysis using the factors as independent variable. Model performance measures.

Evaluated-the-Impact-of-a-New-Golf-Ball-Coating-Hypothesis-Testing-Statistical-Inference-

This project used Hypothesis Testing and visualization to evaluate a new golf ball coating designed to resist cuts and provide durability by comparing the driving distances of the old and new golf ball.

Building-a-Supervised-Model-to-cross-sell-Personal-Loans-Random-Forest-Data-Mining-Pruning-Model-

The objective of this exercise was to build a model using a Supervised learning technique to figure out profitable segments to target for cross-selling personal loans. A Pilot campaign data of 20000 customers was used which included several demographic and behavioral variables. The Model was further validated and a deployment strategy was recommended.