Data preparation and customer analytics on 264,836 retail chip transactions. Covers data cleaning, outlier detection, feature engineering, customer segment analysis by life stage and premium tier, brand affinity, and statistical testing. Completed as part of the Quantium Data Analytics Virtual Internship on Forage.

Statistical test, hypothesis testing, and modelling

This dataset is for ABC Multistate bank

A Machine Learning Approach to Predicting PFOA Concentration in Groundwater Wells Across States in America

To develop the best predictive model to improve the cost-effectiveness of its direct marketing campaigns

Chapter 09 (page 398): 5, 7, 8

Chapter 08 (page 372): 3, 8, 9

Chapter 6, Exercises 2, 9 and 11, Homework 5

Chapter 05 (page 220): 3, 5, 6, 9

Logistic Regression, LDA, QDA, KNN and Naives Bayes

Chapter 3, Linear Regression, Problems 2, 9, 10 and 12