Jeweler's Smiles And Sparkles

educational purposes in upgrade-hub

How much can you sell your diamond and how much carats have?

These are questions that any jewelry owner asks himself. Using regression systems we are going to try to predict this for Smiles And Sparkles jewelry customers but before we enter in EDA (Exploratory Data Analysis ) and and we will discover some interesting facts about diamonds.

But first some info about the Dataset :

Containing prices and attributes for approximately 54,000 round-cut diamonds. There are 53,940 diamonds in the dataset with 10 features (carat, cut, color, clarity, depth, table, price, x, y, and z). Most variables are numeric in nature, but the variables cut, color, and clarity are ordered factor variables.

DOWNLOAD DATASET

SEE THE APP

SEE THE DASHBOARD

Exploratory Data Analysis

LIBRARIES

• Pandas # data processing, CSV file I/O (excel & text)
• Seaborn # visualizations
• Plotly.express # visualizations
• Plotly.graph_objects # visualizations
• Numpy # linear algebra
• Matplotlib # ploting
• Matplotlib.pyplot # ploting

NULLS VALUES ARE FIXING IN THIS DATASET ( THANKS )

CORRELATION EXAMPLE

MACHINE LEARNING

• Pycaret Regression, targets : Prices and Carats

MODEL: CatBoost Regressor

WEBAPP CREATION :

SEE THE CODE