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mchav's submissions
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1.
Pandas feels clunky coming from R. What about Haskell?
(
mchav.github.io
)
26 points
by
mchav
10 days ago
|
past
|
7 comments
2.
Interpretable models with boosting, symbolic regression and e-graphs
(
mchav.github.io
)
1 point
by
mchav
23 days ago
|
past
3.
What category theory teaches us about dataframes
(
mchav.github.io
)
190 points
by
mchav
34 days ago
|
past
|
65 comments
4.
Show HN: Sabela – A Reactive Notebook for Haskell
(
datahaskell.org
)
3 points
by
mchav
61 days ago
|
past
5.
Show HN: Using an LLM as a "semantic regularizer" for feature engineering
(
medium.com/mschavinda
)
1 point
by
mchav
3 months ago
|
past
6.
Learning better decision trees – LLMs as Heuristics for Program Synthesis
(
mchav.github.io
)
1 point
by
mchav
3 months ago
|
past
7.
State of Haskell Survey 2025
(
surveymonkey.com
)
3 points
by
mchav
4 months ago
|
past
8.
Haskell IS a great language for data science
(
jcarroll.com.au
)
6 points
by
mchav
4 months ago
|
past
9.
Comparing xeus-Haskell and ihaskell kernels
(
datahaskell.org
)
13 points
by
mchav
5 months ago
|
past
|
8 comments
10.
Welcome to DataHaskell
(
datahaskell.org
)
6 points
by
mchav
5 months ago
|
past
|
2 comments
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