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A predictive modeling machine le

A predictive modeling machine le

作者: classtag | 来源:发表于2016-12-11 11:31 被阅读8次
    1. Define Problem : Investigate and characterize the problem in order to better understand the goals of the project.
    2. Analyze Data : Use descriptive statistics and visualization to better understand the data you have available.
    3. Prepare Data : Use data transforms in order to better expose the structure of the prediction problem to modeling algorithms.
    4. Evaluate Algorithms : Design a test harness to evaluate a number of standard algorithms on the data and select the top few to investigate further.
    5. Improve Results : Use algorithm tuning and ensemble methods to get the most out of
      well-performing algorithms on your data.
    6. Present Results: Finalize the model, make predictions and present results.

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