Dataset: Penguin Dataset: EDA, Classification, and Clustering Background: My task is to build a KNN classification function and find the best ‘k’ value (number of nearest neighbors), based on which produces the highest F1 score. The features being trained and tested are Culmen Depth and Flipper Length in order to predict which island the penguin […]

Dataset: Predict Dropout or Academic Success Background: This is an assignment given to build a feature classifier to predict whether a student will drop out or graduate. Goal: I hope to become more familiar with the sklearn library and to build a successful eight-feature classifier. Methods: In order to achieve my goal, I used Spyder […]

Dataset: Bank Marketing Background: I chose this dataset in order to analyze the probabilistic relationship between education levels, housing, and loans. Goals: I hope to better understand consumer behavior in terms of financial decisions and education level. Methods: In order to achieve my goal, I utilized Spyder software to create various cross-tabulations and probabilistic calculations. […]

Data Set: Predicting Heart Disease Using Clinical Variables Background: I chose this data set in order to analyze different clinical variables and how they pertain to heart disease. This data contains categories such as age, sex, cholesterol levels, blood pressure, and the classification of the individual’s chest pain. Goal: I chose this data set in […]

Data Set: Credit Card Offer Acceptance Trends in Banking Background: I chose this data set in order to analyze consumer behavior pertaining to personal finances. This data contains information such as consumer income level, number of credit cards, number of homes, and their bank account balances that allow one to gain insight into consumer preferences […]