# Machine Learning Property Loans for Fun and Profit with MLJ.jl

**URL:** <https://discourse.julialang.org/t/machine-learning-property-loans-for-fun-and-profit-with-mlj-jl/84414>\
**Category:** Machine Learning\
**Created:** [July 18, 2022, 4:42pm UTC](https://discourse.julialang.org/t/machine-learning-property-loans-for-fun-and-profit-with-mlj-jl/84414 "2022-07-18T16:42:25Z")\
**Posts on this page:** 5\
**Page:** 1

<div class="post-metadata">

**Author:** ![dm13450](https://avatars.discourse-cdn.com/v4/letter/d/eada6e/32.png) [@dm13450](https://discourse.julialang.org/u/dm13450)\
**Post date:** [July 18, 2022, 4:42pm UTC](https://discourse.julialang.org/t/machine-learning-property-loans-for-fun-and-profit-with-mlj-jl/84414/1 "2022-07-18T16:42:25Z")

</div>

I’ve written a post about using Julia and MLJ on a dataset of property loans.

It was my first time really getting to grips with the MLJ framework and I really liked the one-stop interface for the different models.

> **[Machine Learning Property Loans for Fun and Profit](https://dm13450.github.io/2022/07/08/Machine-Learning-Property-Loans.html)**
>
> Estateguru is a website that lets you lend money to property developers. They are relatively short loans of about a year with an interest rate of 10%. Having a high-interest rate means that the loan is more likely to default, so you will end up...

Thoughts, feedback or comments appreciated!

---

<div class="post-metadata">

**Author:** ![nilshg](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/nilshg/32/2283_2.png) [@nilshg](https://discourse.julialang.org/u/nilshg)\
**Post date:** [July 18, 2022, 6:51pm UTC](https://discourse.julialang.org/t/machine-learning-property-loans-for-fun-and-profit-with-mlj-jl/84414/2 "2022-07-18T18:51:15Z")

</div>

Really nice post! I used MLJ for a loan portfolio valuation a few years ago and it looks like it’s been coming along nicely since then, which is great to to see.

---

<div class="post-metadata">

**Author:** ![cchderrick](https://avatars.discourse-cdn.com/v4/letter/c/ecd19e/32.png) [@cchderrick](https://discourse.julialang.org/u/cchderrick)\
**Post date:** [July 18, 2022, 8:02pm UTC](https://discourse.julialang.org/t/machine-learning-property-loans-for-fun-and-profit-with-mlj-jl/84414/3 "2022-07-18T20:02:45Z")

</div>

Interesting read; At the open loans, isn’t there are 6 loans with Kelly bet of 0? the paragraph stated three properties.

> So three properties should be avoided, (the ones where the Kelly bet is 0) and the model believes all others can be invested in.

---

<div class="post-metadata">

**Author:** ![ablaom](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ablaom/32/4889_2.png) [@ablaom](https://discourse.julialang.org/u/ablaom)\
**Post date:** [July 19, 2022, 1:08am UTC](https://discourse.julialang.org/t/machine-learning-property-loans-for-fun-and-profit-with-mlj-jl/84414/4 "2022-07-19T01:08:26Z")

</div>

Thanks for giving MLJ a spin. I’ve added a link to the post from MLJ’s learning page. Will be live next time we regenerate the docs. [MLJ.jl/learning\_mlj.md at dev · alan-turing-institute/MLJ.jl · GitHub](https://github.com/alan-turing-institute/MLJ.jl/blob/dev/docs/src/learning_mlj.md)

---

<div class="post-metadata">

**Author:** ![dm13450](https://avatars.discourse-cdn.com/v4/letter/d/eada6e/32.png) [@dm13450](https://discourse.julialang.org/u/dm13450)\
**Post date:** [July 19, 2022, 6:29am UTC](https://discourse.julialang.org/t/machine-learning-property-loans-for-fun-and-profit-with-mlj-jl/84414/5 "2022-07-19T06:29:01Z")

</div>

I’ve corrected that now, think it changed when I updated the underlying data between draft and final result
