anaconda-navigator
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conda list
| HW1 : Think about data and plot | HW9 : Correlation Coefficient |
| HW2 : Read data to DataFrame | HW10 :Correlation Coefficient and plot |
| HW3 : Get picture from web address | HW11 : KDEplots |
| HW4 : OneHotEncoding | HW12 : Discretizing |
| HW5 : Plot the data | HW13 : Discretizing_implement |
| HW6 : Outliers | HW14 : Subplot |
| HW7 : Normalize with quantile | HW15 : Heatmap & Grid-plot |
| HW8 : DataFrame manipulate | HW16 : Logistic Regression |
| HW17 : Feature Engineering | HW25 : Time feature |
| HW18 : Type of feature | HW26 : Feature combination |
| HW19 : Fill blank and Standardlize | HW27 : Group by encoding |
| HW20 : Remove outliers | HW28 : Feature selection |
| HW21 : Remove bias | HW29 : Feature importance |
| HW22 : Category feature | HW30 : Leaf encoding |
| HW23 : Mean encoding | |
| HW24 : Counting encoding & Hash encoding |
| HW31 : | HW39 : |
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- Lasso 嵌入法 ＆ GDBT 嵌入法
- Random forest
- Feature transformations with ensembles of trees
- Feature cross
- Algorithm-GBDT Encoder