Including methods implemented during EDA and data lacking. Lack of Training Data (数据短缺) --- Data Augmentation (数据增强) Expand an input dataset by slightly changing the existing (orig
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Loose pages, technical margins, and small notes gathered into a readable stack.
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Different data types in ML. Interval Data This is numerical data which has proper order and the exact zero . Temperature, time, credit score, pH... (zero value exists) Ratio Data T
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How to calculate mathematics in python 1. covariance np.cov(x1, x2) 2. correlation
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Applications in tensorflow and pytorch. Tensorflow 1. transform "pandas.dataframe" to "tensorflow.dataset" For training dataset, you should set the "label" to be the prediction lab
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How to plot charts for dataset Plotting --- During a competition, there must be a number of features and some of them might make more influence on the target value than others. So
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Applications in pandas "pandas is kind of excel in python" 1. Dataframe 2. Dataframe to numpy: df.to numpy() 3. Numpy to Dataframe: df = pd.Dataframe(array) 4. drop some columns: 5