For my capstone project for my “Think Like a Data Scientist” course under Google’s supervision, I analyzed a 53k+ row diamonds dataset to understand how features affect prices of diamonds by applying statistical methods and models and utilizing data analysis libraries like Matplotlib and Seaborn. I also successfully yielded a 96% accuracy score by training and implementing an ML algorithm with Scikit-learn to predict diamond prices. Check out my work here!
Feature Image Credits: “Hivery Tagline” by Franki Chamaki is licensed under C.C.