Automatic Outlier Detection Method using Isolation Forest

[@tranquochung1995]

Thank you for a very clear explanation.

[@DataMites]

Glad it was helpful! You can check this video "Demystifying Feature Engineering - Detecting & Removing Outliers"
ua-cam.com/video/YWKSF1REHcg/v-deo.html

[@manisri8152]

Can you provide the link of dataset used in this?

[@subramanialatentview1542]

Its a crystal clear explanation have shared this as a post in my linkedin too. Can you pls suggest which brand of digital writing pad you are using as I do guest lectures it will be very helpful to me

[@DataMites]

Thank you. We use XP-pen

[@subramanialatentview1542]

@@DataMites Pls say the exact series of the XP pen that u uses

[@joshuasuasnabar6058]

thanks for your explanation, just a question. Is possible deal with categorical variables? Is important the type of enconding to use (one hot or label enconding)? Thanks you in advance

[@DataMites]

Do you want to know how to do categorical encoding or you want to know if we can use isolation forest for categorical variable?

[@joshuasuasnabar6058]

@@DataMites i want to know how isolation forest deal with categorical variables

[@DataMites]

You can encode the categorical data and use isolation forest

[@newzviewz17]

easier way to detect, my question is how can we detect outliers in multiple columns. ?

[@DataMites]

Explore on Mahalanobis distance, if you are referring to multivariate outliers. If not, simple 'For' loop you can use to plot boxplot for multiple features.

[@jeyajassvine9888]

hi can pls have the link to datatset? i cant find it anywhere & need it urgently