GitHub / roshancyriacmathew / Exploratory-Data-Analysis-on-ford-car-price-prediction-dataset
This project demonstrates how to perform exploratory data analysis on car price prediction dataset. The dataset is available on Kaggle and consists of various attributes related to the sales price of used ford cars. We will be performing Exploratory Data Analysis to understand this data and to find out which factors affect the sales price of used Ford cars. To see the complete video explanation on this topic, check out the link in the description.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/roshancyriacmathew%2FExploratory-Data-Analysis-on-ford-car-price-prediction-dataset
PURL: pkg:github/roshancyriacmathew/Exploratory-Data-Analysis-on-ford-car-price-prediction-dataset
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Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 270 KB
Dependencies parsed at: Pending
Created at: about 3 years ago
Updated at: over 2 years ago
Pushed at: about 3 years ago
Last synced at: about 2 years ago
Topics: car, car-price-prediction, data, dataset, eda, exploratory-data-analysis, exploratory-data-visualizations, kaggle, kaggle-dataset, machine-learning, the-ai-and-ds-channel, visualization