Description

Quantitative Methods for Valuation
December 2023 Examination

Q1. Cleansing of Text is an important activity executed in Data Analytics. Assuming
yourself as a Data Consultant, you have been tasked to cleanse text. How will you
progress with the activity? Explain with suitable examples. (10 Marks)
Ans :
Introduction
In the ever-expanding landscape of data analytics, the importance of textual content data can’t
be overstated. Text records, comprising outstanding amounts of unstructured information,
fuel various applications across various domains. But extracting meaningful insights from
these facts gives a unique set of challenges. Preparing these uncooked textual facts for
evaluation is called textual content facts cleansing or preprocessing. It involves meticulously
cleaning and transforming unstructured text into a structured layout that can be effectively
analyzed, paving the manner for accurate and actionable insights.
This advent delves into the critical role of text statistics cleaning in facts analytics. We will
It is only half solved
Get Complete assignment help from us
Price – 290/ assignment
NMIMS Complete Solved Assignments
Available for session DEC 2023
The last date is 29th NOV- 2023
Our assignment help is affordable
Our goal is to provide you with the best and the cheapest
services
Contact No – 8791514139 (WhatsApp)
OR
Mail us- [email protected]
Our website – www.assignmentsupport.in
Online buy – https://assignmentsupport.in/shop/

Q2. Error Analysis involves True Positive Rate and False Positive Rate. How are these
two Rates measured? How are they different from Type 1 and Type 2 Errors? Your
answer should be able to give examples related to Valuation. (10 Marks)
Ans :
Introduction
Errors analysis is vital to assessing the overall performance and accuracy of various systems,
fashions, or processes. In multiple fields like system learning, medicine, finance, and more, it
allows comparing the effectiveness of a device’s predictions or decisions. This analysis
involves understanding and calculating key metrics such as actual acceptable price (TPR) and
false positive charge (FPR), which are fundamental in assessing the reliability of a system.
Concept of True Positive Rate and False Positive Rate
Valid positive rate (TPR), or sensitivity or consideration, is the proportion of real superb
cases effectively identified by the model or system. Mathematically, TPR is calculated as:

Q3.

a) In a classic simulation, distribution of values is estimated for each input
parameter in the analysis for example growth, market share etc. In this reference for
simulation of growth mention how would you execute the activity? (5 Marks)
Ans:
Introduction
The advent units the degree for knowledge of the simulation of growth. It elucidates the
importance of growth simulation in strategic business decision-making and provides a toplevel
view of what it involves. It has to cope with the significance of accurate growth

b) The number of simulations runs depends on three parameters. Explain the
importance of these three parameters. (5 Marks)
Ans :
Introduction
As a crucial tool in various fields, simulation is predicated closely on three fundamental
parameters that notably affect the results and effectiveness of the simulation runs. Those
parameters, encompassing aspects like enter values, version complexity, and simulation
period, play a pivotal position in shaping the accuracy and reliability of simulated results.
This newsletter delves into the importance of these three parameters, elucidating how they