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Simple machine learning project

This is a simple machine learning project for a simple regression problem with about 20 features and <50k observations. The issue at hand is that we want to predict whether it is good for a firm to buy a new production plant or not. In the data, we have n firms at different points in time t. The target value is the value-added when they buy a new plant.

The data is already available and cleaned up for the project. I am looking for someone who can help select the right model (SVM, random forest, ...) and illustrate the results in a standard way. I do have ML experience myself; so, I simply want someone who can help with coding it up by him/herself without needing too many instructions. This is a very straightforward task and it should be completed by the end of this week (Friday at noon PST).

I would prefer doing it with the Scikit-Learn library but am open to your suggestions.

Please only apply if you already have a lot of ML experience.

Thank you!

Evner: Machine Learning (ML), Programmeringssproget R, Python, Scikit Learn, Tensorflow

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Om arbejdsgiveren:
( 21 bedømmelser ) Frankfurt am Main, United States

Projekt ID: #21310987

52 freelancere byder i gennemsnit $162 på dette job

susanna2018

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$140 USD in 7 dage
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6.2
skfaroo123

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$100 USD in 7 dage
(32 bedømmelser)
6.2
liveexperts123

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(16 bedømmelser)
6.0
williams115

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$150 USD in 3 dage
(35 bedømmelser)
5.8
dungforever

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5.8
uzairrzahid

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5.9
tausy

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5.6
mza5ab8dc9be9a8c

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5.1
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kingCzar

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valor312

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5.3
kamalchhirang

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5.0
umg536

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4.4
songhku925

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4.4
wael100

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4.2
mehullala1706

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4.5
phantom1222

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4.3
eng400

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3.9