Wine DATA 621 Assignment

Data 621 Insurance Assignment.

Abstract This assignment focused on census type data for the City of Boston. The dataset contains 466 records that encompass the entire area. The variables for the data are housing type variables such as number of rooms but the records do not give an indication of the part of the city it is representing. The purpose for this assignment is to analyze the data, perform any data manipulation / clean-up and build three (3) binary logistic regression models using only the data (or derivatives thereof) to predict if the region is above or below the median crime rate. The chosen model provided an AIC = 251.59.

HW 2 for Data 621 summer term

Data 605 Assignment 15

Data 605 HW 14

Homework Data 605 #12

Cesar Espitia - HW WK 10

Data 605 Assignment 8

Assignment 7 for Data 605. Dealing with distributions.

Assignment 5 on probabilities

HW 4 for Data605

HW 3 for Eigenvectors and Eigenvalues

Project 1 for Cesar Espitia Data 608

Assignment 2 for Data 605.

HW1 Week 1 for data 605

Final Presentation for Data 607 Spring 2017. Cesar Espitia, Ilya Kats and Michael Muller

NoSQL Migration. Chose MySQL to Neo4j.

This project helps classify if emails are good or junk based upon three different predictive tools (SVM, Tree, Maxent).

Homework 9 for Data 607

Assignment – Working with XML and JSON in R

The following is an analysis of the BLS data from 'BLS earnings table.'

Project 2 Data Set 2 analysis on Cause of Death.

This is the dataset I posted which is a shipping analysis.

Assignment - Tidying and Transforming Data

This is my first project for CUNY MSDA DATA 607 course.

This is HW 3 for CUNY DATA 607

HW 2, RMD portion

The following is the RMarkdown of HW 1 published for review.

This is my project proposal for Cesar Espitia for Data 606 for the Fall 2016 term. The data set used was the fueleconomy as suggested in the project syllabus information.

This is exercise 4.39 from the HW that is being presented

This is an analysis of the NOAA Storm database. This analysis includes the effects of weather events on the public (human lives) and economic impacts (property and crops). Part of the Coursera Reproducible Research class.