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1-D Array Indexing Use bracket notation [ ] to get the value at a specific index. Remember that indexing starts at 0. Output: array([ 0, 1, 2, 3, 4, 5 阅读全文
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The Dataset was acquired from https://www.kaggle.com/c/titanic For data preprocessing, I firstly defined three transformers: DataFrameSelector: Select 阅读全文
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In the former article "Data Preparation by Pandas and Scikit-Learn", we discussed about a series of steps in data preparation. Scikit-Learn provides t 阅读全文
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In this article, we dicuss some main steps in data preparation. Drop Labels Firstly, we drop labels for train set. Here we use drop() method in Pandas 阅读全文
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Train model: Show parameters of best model: Show the score of train set: Fit on test set: Show the score of test set: More about GridSearchCV: https:/ 阅读全文
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1. Using for-loop Iterate along row axis: Output: [1 2 3] [4 5 6] Iterate by index: Output: [1 2 3] [4 5 6] Iterate by row and index: Iterate by row a 阅读全文
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1. Reshape: The np.reshape() method will give a new shape to an array without changing its data. Note that the new shape should be compatible with the 阅读全文
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Here is a function in Numpy module which could apply a function to 1D slices along the Given Axis. It works like apply funciton in Pandas. This functi 阅读全文