Performing Sentiment Analysis on Amazon Alexa Reviews Data Set

Predicting employee attrition using Logistic Regression, Classification Tree, and Random Forest. Additionally, used different sampling techniques such as ROSE, SMOTE, Over Sampling, etc. and compared model performance.

What are we trying to do? We are looking at the carbo-loading transactions over a period of two years from four categories- Pasta, Pasta Sauce, Syrup, and Pancake Mix. We want to know: Are complementary products bought together? If yes, which ones? Are there any specific brands that are bought together? Are commodity sales (units) impacted when they are featured in weekly mailer?

Identifying the zip codes that would generate the most profit on short term rentals within New York City

1) To predict if a customer poses a credit risk or not. 2) Compare the performance of logistic regression and decision trees for this prediction

To study the factors that impact the landing distance of a commercial flight using logistic regression and predicting conditions that would result in risky landings

To study the factors that impact the landing distance of a commercial flight using linear regression and predicting the landing distance of a flight

Predicting Alumni donation using Linear Regression using data from America’s Best Colleges

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