This notebook help you to explore data with the aim of extracting useful and actionable information from it. EDA is arguably the most important and revelatory step in any kind of data analysis.
- Data sourcing
- Data cleaning
- Feature Engineering
- Univariate analysis
- Bivariate analysis
- Derived metrics
- Data transformation
- Feature Extraction
Data set used in this analysis is Carprice Prediction Dataset