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.
1 month
INR 30,000
Benefits of this Project
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.
What will you do in this project?
Data cleaning that is replacing the Missing data with meaning full data point
Classification done of Car done based on the Price, brand , engine Location . Type of fuel used , Aspiration etc
Prediction of price for each brand of cars based on analysis
In this project, you will work on a Data cleaning using Python
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Project Highlights
The project is an advanced level project
Pre-requisites
Work with various Modules in Python
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.