Description
Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm;Visualize patterns and associations using a range of graphs and find frequent itemsets using the Eclat algorithm;Compare the differences between each regression method to discover how they solve problems;Predict possible churn users with the classification approach;Implement the clustering method to segment customer data;Compress images with the dimension reduction method;Incorporate R and Hadoop to solve machine learning problems on big data.
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