Data Cleaning of the Car Data set

In this project, you will be learning all the basics of machine learning, many libraries and modules in Python. Specifically, we will be learning algorithms for Data Analysis such as Polynomial Regression, Logistics Regression, Supervised Learning Techniques, KNN algorithm , Dendrograms etc. The application for the study is the Descriptive analytics of Car data after performing the Data Cleaning.

  • Duration : 1 Month
  • Domain : MECHANICAL, AUTOMOTIVE. MATERIALS ENGINEERING
  • Benefits : In this project, you will be learning all the basics of machine learning, many libraries and modules in Python. Specifically, we will be learning algorithms for Data Analysis such as Polynomial Regression, Logistics Regression, Supervised Learning Techniques, KNN algorithm , Dendrograms etc. The application for the study is the Descriptive analytics of Car data after performing the Data Cleaning.
  • Price : 30000
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What will you do in this project?

In this project, you will work on a Data cleaning using Python 

  • Understanding the Basics of ML & AI.
  • The various Data analytics module available in Python.
  • Data Wrangling ,i.e conversion of Raw data into useful data. 
  • Replacing the unavailable data with the Average of the Corresponding Data.
  • Doing the Descriptive analytics to thus Cleaned Data. 
  • Classification of Cars based on the various parameters.
  • Analysing the Trends of Pricing for various parameters such as Engine size, Fuel Used,  Power of the engine etc.

  • Use Python to read the data and identifying the various parameters in which the data cleaning to be done
  • Replacing the thus identified parameters with meaning full data
  • Classification of the data based on Engine type, FUel used, Body Type,Number of Doors , Brands,etc
  • Creating a Corelation Matrix based to know which all are the predominant characteristics
  • Regression analysis of these predominant characteristics from the Co relation matrices

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Project Highlights

The project is an advanced level project
  • This project is great for undergraduate students (3rd & 4th year), M.Tech or MS students.
  • If you are a working professional, this project will be helpful to learn the basics of Python.
  • How to use Python for solving various Engineering Problems.

  • Must be comfortable with basics of coding.
  • Need basic background in Mechanical Engineering
,
  • Learning the basics of Python.
  • Hands-on experience in solving various Algorithm used in data analytics 
  • Training in various modules in  Python and their uses.
Pre-requisites
  • This project is great for undergraduate students (3rd & 4th year), M.Tech or MS students.
  • If you are a working professional, this project will be helpful to learn the basics of Python.
  • How to use Python for solving various Engineering Problems.

  • Must be comfortable with basics of coding.
  • Need basic background in Mechanical Engineering
,
  • Learning the basics of Python.
  • Hands-on experience in solving various Algorithm used in data analytics 
  • Training in various modules in  Python and their uses.
Work with various Modules in Python
  • This project is great for undergraduate students (3rd & 4th year), M.Tech or MS students.
  • If you are a working professional, this project will be helpful to learn the basics of Python.
  • How to use Python for solving various Engineering Problems.

  • Must be comfortable with basics of coding.
  • Need basic background in Mechanical Engineering
,
  • Learning the basics of Python.
  • Hands-on experience in solving various Algorithm used in data analytics 
  • Training in various modules in  Python and their uses.

Data Cleaning of the Car Data set and Doing the descriptive analytics

This project focuses on the Data cleaning that is removing the unavailable data with meaningful data set. ML & AI helps to construct the Correlation Matrix to choose the Dominant parameters in the Data set. The Dominant characters are used in Predicting the Price of the Vehicle. 

  • Performing Data Cleaning using Python
  • Descriptive analytics using Python
  • Finding the Dominant characteristic from the Data set
  • Predicting the nature of Dominant characters in Price calculations

FAQ

Frequently Asked Questions

1How is this project going to help me?

SKILL-LYNC projects are mapped closely with what industry expects. When you work on a SKILL-LYNC project and publish it in your profile, recruiters are automatically notified about your profile.  Your project submissions are graded so that students can get critical feedback on your work

2Can I add this project in my resume?

You bet!

3What are the pre-requisites for this project?

  • A few premium projects might require a prior understanding of fundamental concepts
  • In such a case, you will be given access to appropriate learning materials to first learn those concepts before jumping to the project


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