Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a prediction model with full statistical validation
Data Scientist
Statistician with experience on every analytics process needed, from data cleansing, transformation, descriptive statistics, modeling and insight sharing. Specialized on statistical modeling pipelines...
About this Gig
Running code to fit a model and get some results isn't difficult, but that's useless if you can't trust it.
Most "Data analysts" can only adjust models, but don't understand the mathematical and algorithmical behind-the-scenes that's happening with these models to get to a final prediction.
I build supervised machine learning models (classification or regression) with the statistical rigor that separates reliable predictions from misleading ones. This means proper validation, honest performance reporting, and results you could actually explain to stakeholders.
My goal is delivering a model you can deploy, defend and build decisions on, not only to deliver the best-looking metric on the training or testing set.
What's included: Every step and technique necessary to get a reliable model using your data, this may include cleansing and preparation, an exploratory analysis, categorical codification, ... all the way up to fitting, validating and tuning the model to make it robust.
I can work in Python or R, and will present clean, well-commented and reproducible code .
Programming language:
Python
•
R
•
SQL
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
RStudio
FAQ
Do you guarantee a specific accuracy level?
No, and you should be skeptical of anyone who does. Model performance depends on data quality and the nature of the problem. What I do guarantee is honest evaluation, proper validation methodology, and a clear explanation of what the model can and cannot do.
What do you need from me to get started?
A dataset, a description of the prediction target and the features available, and context on how the model will be used. The more context, the better the pipeline I can build for the model.
My data is confidential. Is it safe to share?
I handle all client data with strict confidentiality and use it solely for the agreed scope of work. I'll anonymize data if necessary. Once a job is done, I delete any data related to it.
