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# **Cartier Jewelry Classification** 💎
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### 🎯 Goal
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The aim of this project is to make a classification model, which will classify the jewelries based on the various features.
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### 🧵 Dataset : [LINK](https://github.com/Archi20876/machine-learning-repos/blob/main/Classification%20Models/Cartier%20Jewelry%20Classification/Dataset/cartier_catalog.csv)
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### 🧾 Description
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Cartier International SNC, or simply Cartier (/ˈkɑːrtieɪ/; French: [kaʁtje]), is a French luxury goods conglomerate which designs, manufactures, distributes, and sells jewellery and watches. Founded by Louis-François Cartier in Paris in 1847, the company remained under family control until 1964. The company maintains its headquarters in Paris, although it is a wholly owned subsidiary of the Swiss Richemont Group. Cartier operates more than 200 stores in 125 countries, with three Temples (Historical Maisons) in London, New York, and Paris.
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### 📚 Libraries Needed
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- Numpy
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- Pandas
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- Matplotlib
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- XgBoost
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- Sklearn
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- seaborn
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## EDA Result 👉 [ Cartier Classification.ipynb](https://github.com/Archi20876/machine-learning-repos/blob/main/Classification%20Models/Cartier%20Jewelry%20Classification/Model/cartier_jewelry_classification.ipynb)
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### For more information please refer to [Model](https://github.com/Archi20876/machine-learning-repos/tree/main/Classification%20Models/Cartier%20Jewelry%20Classification/Model)

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