I will audit your data for real predictive signal
About this Gig
Not every dataset contains useful predictive signal, and a more complex model cannot create information that isn't there.
I will investigate your data to determine what can actually be learned, how strong the signal is, and whether it generalizes beyond the data used to discover it.
Depending on the problem, I may use statistical modeling, machine learning, Bayesian methods, regression, survival analysis, time-series methods, simulation, or other appropriate techniques. The method follows the problem, not the other way around.
My work may include:
- Predictive signal assessment
- Out-of-sample validation
- Statistical analysis and diagnostics
- Model comparison
- Uncertainty quantification
- Detection of leakage, bias, censoring, or misleading relationships
A valid result may be that the data does not contain enough reliable signal to justify a model. Knowing that can save time and money.
Packages cover one clearly defined modeling question. Larger datasets, cloud-scale computation, or extensive modeling can be scoped through a custom Fiverr offer.
Please contact me before ordering if your problem is complex.
Domain:
Machine Learning
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Deep Learning
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Time Series Analysis
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Other
Programming language:
Python
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R
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SQL
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Julia
Technology:
Python
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Julia
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scikit-learn
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Jupyter Notebook
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SQL
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Pandas
