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Unsupervised learning techniques like K-Means, Hierarchical clustering, and DBSCAN for segmentation.

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"K-Means Python"

I needed help implementing K-Means clustering in Python. The expert provided clean code with matplotlib visualizations.

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"Weka Analysis"

The classification analysis using Weka was great. The report explained the J48 decision tree results clearly.

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"Market Basket"

Help with Apriori algorithm in R. The rules generated were meaningful and the support/confidence calculations were correct.

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Assisted me in building a simple neural network using TensorFlow. The explanation of backpropagation was very helpful.

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