Exploratory analysis of the UK Railway dataset

Web scraped data from the Wiki page, and preprocessed it to extract and report insights.

Create a model predicting left, using logistic regression, and interpret the results. Use the HR_comma_sep.csv data.

Final project: Evaluate the Logistic Regression, CART, and Random Forest Models and determine which is the best. This referring to the three assignments using these models. Be sure to explain why you believe the model you selected as the best is in fact the best.

Create a model predicting left, using CART, and interpret the results. Use the HR_comma_sep.csv data.

Create a model predicting left, using random forrest, and interpret the results. Use the HR_comma_sep.csv data.

Using the data Bank.csv, complete a research project that answers: what makes a client subscribe for a term deposit?

Using the HR_comma_sep data set, develop a cluster analysis. Remember to keep out the left variable from the cluster analysis, and to convert salary to a numerical variable.

Create a linear model and interpret the results. Use the Marketing.xlsx data.

Amerisource Bergen Data Analysis