01 2019 档案

摘要:Using Series (Row-Wise) Using Series (Column-Wise) Using Dictionary (Columnwise) Using Nested Dictionary The outer dictionary is columnwise and the in 阅读全文
posted @ 2019-01-30 02:30 Sherrrry 阅读(269) 评论(0) 推荐(0)
摘要:Matrix and Determinant Let C be an M × N matrix with real-valued entries, i.e. C={cij}mxn Determinant is a value that can be computed from the element 阅读全文
posted @ 2019-01-20 06:56 Sherrrry 阅读(332) 评论(0) 推荐(0)
摘要:I Got a SettingWithCopyWarning when I ran the following code: The details of the Warning are : Then I got the inspiration from https://stackoverflow.c 阅读全文
posted @ 2019-01-19 11:53 Sherrrry 阅读(1393) 评论(0) 推荐(0)
摘要:从昨天晚上开始安装xgboost,经历了各种稀奇古怪的错误,终于现在程序可以跑起来了。整个过程对python编译环境,路径设置,package安装方法有了一定了解,当然还有一些疑惑,所以姑且做个记录。 系统:Mac OS Mojave 10.14 IDE:Anaconda (严格来讲,Anacond 阅读全文
posted @ 2019-01-11 01:23 Sherrrry 阅读(906) 评论(0) 推荐(0)
摘要:Convert from list Apply np.array() method to convert a list to a numpy array: Apply np.array() method to convert a list to a numpy array: Apply np.arr 阅读全文
posted @ 2019-01-05 11:26 Sherrrry 阅读(212) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-05 03:23 Sherrrry 阅读(291) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-04 06:50 Sherrrry 阅读(802) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-02 09:40 Sherrrry 阅读(246) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-02 09:34 Sherrrry 阅读(638) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-02 05:06 Sherrrry 阅读(233) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-02 04:49 Sherrrry 阅读(183) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-02 04:05 Sherrrry 阅读(175) 评论(0) 推荐(0)
摘要:数组拼接方法一 思路:首先将数组转成列表,然后利用列表的拼接函数 、`extend()`等进行拼接处理,最后将列表转成数组。 示例1: [1, 2, 5, 10, 12, 15] array([ 1, 2, 5, 10, 12, 15]) 该方法只适用于简单的一维数组拼接,由于转换过程很耗时间,对于 阅读全文
posted @ 2019-01-01 11:17 Sherrrry 阅读(249) 评论(0) 推荐(0)
摘要: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
posted @ 2019-01-01 10:42 Sherrrry 阅读(199) 评论(0) 推荐(0)
摘要:You can launch IPython on the command line just like launching the regular Python interpreter except with the ipython command: $ ipython Then you can 阅读全文
posted @ 2019-01-01 06:46 Sherrrry 阅读(155) 评论(0) 推荐(0)