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great code
only may you help these data sets mentioned in paper to try your code ?
Datasets. We use all regression datasets from three recent works: 3 large tabular datasets from [43], a chemical d…
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- [ ] Apply at least four different learning algorithms (from different major groups: Support Vector Machines, Neural Networks, Nearest Neighbor Classifiers, Naive Bayes, Decision Trees, Generalized L…
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These names in gen_R.py are inconsistent:
{code}
def algo_to_modelname(algo):
if algo == "aggregator": return "H2O Aggregator Model"
if algo == "deeplearning": return "Deep Learning - Ne…
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[Local collaborative autoencoders](https://sci-hub.ru/https://dl.acm.org/doi/abs/10.1145/3437963.3441808)
[Local latent space models for top-n recommendation](https://sci-hub.ru/https://dl.acm.org/do…
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# Challenge 25 - Regional Reanalysis for Europe with Machine Learning
> **Stream 2** - Machine Learning for Earth Science
### Goal
The main objective of this challenge is to develop a downsc…
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Here's a minimal(ish) example that exhibits some strange behaviour:
``` python
import nengo
import numpy as np
from nengo import spa
import ctn_benchmark
class Vision(ctn_benchmark.Benchmark):
d…
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🔴 *Project Title*: Microsoft Malware Prediction Challenge
🔴 *Aim*: Develop predictive models using data science techniques to anticipate malware attacks on machines, thereby preventing potential …
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I believe that DecisionTree can be used not only for machine learning, but also for many other applications (for example, to contain expert knowledge). So it would be nice to have it as a standalone p…
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### Team Name:
my\_favourite\_team
### Project Description:
In this Qhack 2022 Open Hackathon, we propose to re-implement concepts related to asynchronous Quantum Computing, also framed as En…