MathsGee Answers is Zero-Rated (You do not need data to access) on: Telkom | Dimension Data | Rain | MWEB
First time here? Checkout the FAQs!
MathsGee is Zero-Rated (You do not need data to access) on: Telkom |Dimension Data | Rain | MWEB

1 like 0 dislike
Explain the life cycle of a data science project.
in Data Science & Statistics by Bronze Status (8,130 points) | 81 views

1 Answer

1 like 0 dislike
Best answer
The phases of the life cycle of a data science project are:

1.    Discovery involves learning the business domain, framing the problem, identifying key stakeholders, etc

2.    Data preparation includes conditioning the data

3.    Model planning includes assessing the structure of the data and determining the applicable techniques

4.    Model building includes developing datasets for training, testing.

5.    Communicating results

6.    Operationalizing includes setting up a pilot project to deploy
by Diamond (40,162 points)
selected by

MathsGee provides answers to subject-specific educational questions for improved outcomes.

On MathsGee Answers, you can:

1. Ask questions
2. Answer questions
3. Comment on Answers
4. Vote on Questions and Answers
5. Donate to your favourite users

Registered Members Online
MathsGee Tools

Math Worksheet Generator

Math Algebra Solver

Trigonometry Simulations

Vectors Simulations

Matrix Arithmetic Simulations

Matrix Transformations Simulations

Quadratic Equations Simulations

Probability & Statistics Simulations

PHET Simulations

Visual Statistics

ZeroEd Search Engine

Other Tools

MathsGee ZOOM | eBook