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In data science, machine learning is like a powerful tool in a toolbox. While it's essential and often used, it's not everything. Data science involves various tasks, like collecting and cleaning data, understanding it through analysis and visualization, and finally, using machine learning to make predictions or decisions. So, while machine learning is a big part, there's a lot more to data science beyond just that.
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Currently I am working as a tester now, and looking to get trained in Data scientist.
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