ReCell Project Rubric Exploratory Data Analysis - Overview of the data - Univariate and bivariate analysis - Insights based on EDA Data preprocessing - Duplicate value check - Missing value treatment - Outlier treatment - Feature engineering - Data preparation for modeling Model building - Linear Regression - Build the model and comment on the model statistics - Display model coefficients with column names Testing the assumptions of linear regression model - Perform tests for the assumptions of the linear regression - Comment on the findings from the tests Actionable Insights & Recommendations - Comments on significance of predictors - Key takeaways for the business Presentation - Overall quality - Structure, flow, and visual appeal - All key insights and recommendations covered