Business Problem Contractors in Los Angeles County have historically relied on referral systems or databases to fill the gap between sourcing suitable projects from a wide variety of residential and commercial listings.
Providing context from a visual perspective to the fact that the Department of Energy has spent more than $400 million since 2014 to hasten the development of the small modular reactors, or SMRs” (Associated Press, 2020) is the goal of this project.
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.
Instructions: In this project, you will:
Python - Jupyter Notebook This notebook implements a text mining sentiment analysis project.
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.
Appendix [Python Code] - Pre-Processing
The following visualization was sourced from the Army Corps.
Business Understanding Background Walmart is the world’s largest company by a 12-month trailing revenue of $542.
Abstract Real-estate market dynamics in Los Angeles County affect the decision-making framework of all stakeholders involved in the buying or selling process.
The following visualization shows county by county numbers (quantity) of emergency service providers for COVID-19 related endeavors.
The following visualization shows county by county numbers (quantity) of Geothermal Wells in the State of CA.
In R Studio, we will utilize a classic stock portfolio optimization approach to examine the following 4 ticker symbols, Tejon Ranch Company (TRC), Snapchat (SNAP), AI Powered Equity ETF (AIEQ), and 2U (TWOU).
The broad spectrum of assets that comprise the portfolios of Merrill Lynch clients necessitates an in-depth financial analysis so as to comprehend investor goals, successes, and most importantly, investor psyche.