Logistic Regression

Supervised Learning Techniques in R

Part One Building A Model In this part of the project, you will focus on building a model to understand who might make a good product technician if hired using linear discriminate analysis logit and ordered logit modeling.

Identifying Safer Pedestrian Routes in Los Angeles

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Impacting the Business with a Distributed Data Science Pipeline

San Diego Street Conditions Classification Amazon SageMaker (AWS) Python - Jupyter Notebook \(\rightarrow\) click to view Abstract The city of San Diego has become reliant upon a streets Overall Condition Index (OCI) that was designed and implemented by the United States Army Corps of Engineers.

In-Vehicle Marketing Engagement Optimization

Appendix [Python Code] - Pre-Processing

Predicting Cervical Cancer From Biopsy Results

R Programming - Appendix

Predicting Student Performance in a Portuguese Secondary Institution

R Programming - Appendix