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🔸Power Transformation techniques are the type of feature transformation technique where the power is applied to the data observations for transforming the data.
🔸Two types of Power Transformation techniques:
1⃣ Box-Cox Transform
2⃣ Yeo-Johnson Transform
🔸Two types of Power Transformation techniques:
1⃣ Box-Cox Transform
2⃣ Yeo-Johnson Transform
▶️Box-Cox Transform :
This is mainly used for transforming the data observation by applying power to them. The power of data observation is denoted by Lambda(λ). There are mainly 2⃣ conditions associated with power in this transform which is lambda equal zero and not equal to0⃣
This is mainly used for transforming the data observation by applying power to them. The power of data observation is denoted by Lambda(λ). There are mainly 2⃣ conditions associated with power in this transform which is lambda equal zero and not equal to0⃣
Here the transformed value of every data observation will lie between 5 to -5. One major disadvantage associated with transformation technique is this technique can only be applied to positive observation. it is not applicable for negative & zero values of the data observations
▶️Yeo Johnson Transform
This technique is also power transform technique, where power of data observation is applied to transform the data. This is advanced form of box cox transformation technique where it can
applied to even zero and negative values of data observations also
This technique is also power transform technique, where power of data observation is applied to transform the data. This is advanced form of box cox transformation technique where it can
applied to even zero and negative values of data observations also
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