/Predictive-Analytics-Leveraging-Amazon-Product-Ratings-for-Performance-Analysis

We will be using a simple code in R and exploring the database through Kaggle to see product sales can be affected by sales ratings to predict a model for e-commerce businesses.

Primary LanguageR

Predictive-Analytics-Leveraging-Amazon-Product-Ratings-for-Performance-Analysis

We will be using a simple code in R and exploring the database through Kaggle to see product sales can be affected by sales ratings to predict a model for e-commerce businesses.

**Dataset Selected: Amazon Sales Dataset **

Why did we select this data? Diversity Large Sample Size Rating System User Reviews Real-world Application

Where are you getting this data from?__ Dataset Source: Kaggle - Amazon Sales Dataset

Structure Size: Our dataset has 1400 rows and 9 columns. Variables: discounted_price actual_price discount_percentage rating rating_count rating_decision discount_decision The dataset has been uploaded as a .csv file along with the R code.

Research Questions Classifying Products by Rating: Can we classify products into high and low-rated categories based on their features like discounted price, actual price, rating and discount percentage? Predicting Product Sales: Can we predict the number of sales for a product based on its, discounted price, actual price, discount percentage and rating?

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