DIVACTORY01 Report Slides

In this DIVACTORY 01 Warm Up case study, we are given Training_Data.csv and Test_Data.csv CSV data files for training and test data correspondingly.

Objectives for this case study are:

1. Develop an exploratory data analysis based on given training and test datasets
2. Develop a model to minimize negative log-loss function
3. Document the mmodel results in a documentation and slides

Extract the Training_Data and Test_Data datasets:

Training_Data <- read.csv("Training_Data.csv", header = TRUE, sep = ",")
Test_Data <- read.csv("Test_Data.csv", header = TRUE, sep = ",")