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Compile and fit unsupervised machine learning models such as PCA and K-Means to training data.

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Noura-ou/Unsupervised-Machine-Learning-for-Customer-Market-Segmentation

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Import libraries and datasets

Visualize and explore datasets

Find the optimal number of clusters using the elbow method

Use Scikit-Learn library to find the optimal number of clusters using elbow method

Apply k-means using Scikit-Learn to perform customer segmentation

Apply Principal Component Analysis (PCA) technique to perform dimensionality reduction and data visualization

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Compile and fit unsupervised machine learning models such as PCA and K-Means to training data.

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