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.
