R is an open source programming language for statistical computing and graphics, it is widely used by statisticians and data miners.Από 34,810 αξιολογήσεις, οι πελάτες αξιολογούν τους R Programmers με 4.85 από 5 αστέρια
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Part 1 - SQL Preparation Use the Adventure Works Datawarehouse database you downloaded. In this assignment you might need to search for data tables and their columns within the adventure works datawarehouse database. Answer the following questions: 1. Create a list of Products and their units balance. Clue: Design the Query that shows [EnglishProductName] column and [UnitsBalance]. Make sure the [units balance] is summarized. Assumption: Accept every record in FactProductInventory table as an new inventory addition transaction to the existing stock. 2. Create a list of Countries and their salesamount. Clue: Design the query that shows the [SalesTerritoryCountry] broken down by [SalesAmount]. Make sure the [SalesAmount] is summarized. Assumption: Ignore the Currency Codes and assume tha...
Hay que resolver una serie de problemas en el proyecto de procesadores del lenguaje, parecido a lo que se adjunta en pdf.
We are looking for a process mining expert/developer with the ability to support defining and building the data modules, required data analysis and dashboards on demand. Knowledge required using tools like Celonis, SAP, Basware, ServiceNow, Google Big Query and Salesforce and a deep understanding of business processes like Procure to Pay, Order to Cash, etc. Minimum 3 years of demonstrable experience.
I am analysing my data in R i have already a script for logictic regression with binary outcomes, in my data i have 4 outcomes so most probably i need to do a multinomial logistic regression. I need someone who can assist me with a multinomial logisitic regression analysis
I have two codes, one in R and one in Python. The Python code is modeled on the R code. The purpose of the R code is to run a monte carlo simulation. The Python code doesn't work, but the R code is functional. I need someone with an in-depth knowledge of R and Python to fix the Python code.
you need to write a technical paper about these topics. (one on clustering, one on dimension reduction and one on association rules)