This project is being created to document learnings and understanding of the different Python libraries and technologies that can be used to achieve certain common objectives.
Link: https://www.kaggle.com/datasets/nadyinky/sephora-products-and-skincare-reviews
This data contains
- information about all beauty products (over 8,000) from the Sephora online store, including product and brand names, prices, ingredients, ratings, and all features.
- user reviews (about 1 million on over 2,000 products) of all products from the Skincare category, including user appearances, and review ratings by other users
Understand the retail data through the lens of Data Science by exploring the data and training models to achieve various objectives. The objectives planned to be documented are
- Understand the data using Python libraries for Exploratory Data Analysis (EDA)
- Processing the data
- Creating models for
- Sentiment
- Emotion
- Adverse Event detection
- Nady Inky - Kaggle Dataset Builder
- Kaggle