AAKANKSHA ANIL KUMAR

1.GEMS & HOLIDAY PACKAGE PREDICTION

· This project is based on 2 cases studies: Gems Price Prediction and Holiday Package prediction.

· predict the price of gems based on multiple variables to help company maximize profits.

· Second prediction if the customer will purchase the holiday package to target the relevant customer base.

· Skills and Tools: - Linear Regression, Logistic Regression, Linear discriminant Analysis

2. BANK CUSTOMER SEGMENTATION AND INSURANCE CLAIM PREDICTION

· The project involved drawing inferences from 2 case studies, namely - Bank Marketing & Insurance.

· Various performance metrics have been used to validate the performance of predictions on Test & Train sets.

· Skills and Tools: - Clustering, CART, Random Forest, Artificial Neural Networks

3. SALARY ANALYSIS USING ANOVA AND PRINCIPAL COMPONENT ANALYSIS ON COLLEGE ADMISSIONS DATA

· The project involved drawing inferences from 2 case studies, namely - Salary Analysis, College Admissions Data.

· The concepts of Exploratory Data Analysis, Analysis of Variance, and Principal Component Analysis are used to draw inferences from these case studies.

· Skills and Tools:- ANOVA, EDA, PCA

· The project involved drawing inferences from 3 case studies, namely - Wholesale Customer Data (Store Sales), University Survey Data & Manufacturing Shingles Data.

· The concepts of various measures of Descriptive Statistics, Probability and Probability Distributions, and various Estimation & Hypothesis Testing measures are used to analyses these case studies.

· Skills and Tools: -Descriptive Statistics, Probability, Estimation, Hypothesis Testing