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(1) The first sentence of the notebook says (emphasis added):
> In this session, we'll use the `boston` dataset, which has been used to examine the ***relationship between clean air and house price…
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c5.9xlarge (18 cores, HT off):
**1M:**
**Lightgbm:**
```
suppressMessages({
library(data.table)
library(ROCR)
library(lightgbm)
library(Matrix)
})
set.seed(123)
d_train
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só pra ver no que dá?
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You have to implement Random Forests using **sklearn library** on the Titanic dataset. A starter notebook has been added [here](https://github.com/wncc/Hello-FOSS-ML/blob/master/Titanic%20Random%20For…
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Function that will take restructured data and generate classifications based on a random forest model
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Je n'arrive pas à déterminer quelles features (autre que l'altitude) pourraient être intéressantes (et disponibles depuis le nuage de points) pour la classification du random forests. Certains papiers…
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instead of loading the PMMLs every time. Protobuf?
g3rv4 updated
5 years ago
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This is as much a proposal as a question:
Does it make sense to use out-of-bag samples for estimating the distributions in the leaves? That should give you a better estimate of uncertainty, right?
I t…
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Implement Random Forests using Python on Titanic Dataset
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- Objective: Predict the duration of taxi trips in NYC accurately.
- Data: Utilize a dataset containing information such as pickup/dropoff locations, timestamps, distance, and passenger count.
-…