The document outlines a project focused on used car price analysis, emphasizing the importance of data collection, preprocessing, feature selection, model selection, evaluation, deployment, and maintenance. It highlights the distribution characteristics of various features such as year, kilometers driven, mileage, engine power, and price, noting the presence of outliers in certain cases. The analysis ultimately aims to enhance the accuracy of the predictive model used for assessing used car prices.

1. Project title
usedcars price analysis

2. INTRODUCTION
Analyzing used cars involves assessing
various factors to make informed
decisions about purchasing or selling
pre-owned vehicles. Here's a summary of
key aspects in used car analysis:

3. Key objective
1.Data collection
2.Data pre processing
3.Feature selection
4.Model selection
5.Model evaluation
6.Deployment
7.Monitoring and maintenance

11. •Year is left skewed and has outilers on lower side., This column
can be dropped
•Kilometer_driven is right skewed.
•Mileage is almost Normally distrubuted. Has few outliers on
upper and lower side. need to check further.
•Engine ,power and price are right skewed and has outliers on
upper side.
•Age of car is right skewed.
Observation

12. Accuracy Of Model