A Machine Learning Approach to Optimize Prices During Clearance Sales at MANGO | MANGO

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  • เผยแพร่เมื่อ 5 ก.ย. 2024

ความคิดเห็น • 7

  • @AshishOmGourav
    @AshishOmGourav 3 ปีที่แล้ว +12

    The Model (Use Case) Starts at 8:39

  • @gauravmodi12
    @gauravmodi12 4 ปีที่แล้ว +5

    Nice topic .. but I really have doubt on price combinations ..and random forest .... how it will predict the price. what other variables you are using for prediction? have you tried time series?

  • @umamiplaygroundnyc7331
    @umamiplaygroundnyc7331 4 ปีที่แล้ว +1

    Amazing. THanks!

  • @elonagusho
    @elonagusho 4 ปีที่แล้ว +6

    Hello! Great talk and nice tips :) I had only one question: how can you use random forest as a predictor during the optimization phase? I mean, you are putting all the price combinations for different weeks but when you trained the random forest you trained only into certain range of prices. The prediction out of this range will still be accurate?

    • @dcadfdfbdf2181
      @dcadfdfbdf2181 3 ปีที่แล้ว +2

      She says at the end that prices are chosen from a fixed catalog

  • @alok2906
    @alok2906 ปีที่แล้ว +1

    Lost her at the 16th minute, cannot make any sense of the math, A and C are two completely different group of products. Accent does not help either.

  • @claxtonjohnson6504
    @claxtonjohnson6504 2 ปีที่แล้ว +1

    Her voice kills me. I just can't take it anymore. I tried. And I even think she's good. But man. That voice