I will build and evaluate a baseline ml model for your research or thesis dataset
About this Gig
Hi! I'm a Computer Science student with real, hands-on machine learning experience I've built models from the ground up (including my own backpropagation engine, built entirely from the math) and competed in real ML competitions using XGBoost, CatBoost, and model ensembling.
I'll build and tune a machine learning model for your tabular/structured dataset classification or regression. You'll get:
- A trained, working model
- A clear evaluation report (accuracy, precision, recall, confusion matrix not just one vague number)
- Clean, commented source code you can actually read and reuse
What I need from you: a dataset that's already in a usable format (labeled columns, readable file) and what you're trying to predict.
Note: if your data needs heavy cleanup first, message me before ordering so we can scope that properly it's not automatically included.
I care about explaining results clearly, not just handing over a black box. Let's build something that actually works for your data.
Programming language:
Python
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
•
Other
Tools:
Jupyter Notebook
•
Colab

