- This project analyses diamonds by their cut, color, clarity, price, and other attributes and predict their price using various regression algorithms.
- Used libraries such as Pandas, Numpy, Seaborn, Matplolib and Scikit Learn Algorithms to visualise the given dataset and estimate the price of diamonds based on the features.
- Analysed and visualised the relation between different features of diamonds and their price.
- Performed Stratified sampling and Feature scaling of data.