I will build, test, and compare classification models for your data
AI AND ML
About this Gig
Have a classification problem but not sure which model actually fits your data?
I build, train, and compare multiple classification models on your data
not just one popular algorithm then evaluate them on unseen data using
the metrics that fit your problem (precision, recall, F1, or others).
What's included:
- Data preprocessing and feature engineering
- Training and comparison of multiple suitable models
- Evaluation on unseen test data with relevant metrics
- Final trained model, source code, and a short performance report
I work with numerical, categorical, and text data binary, multiclass, or
multilabel classification.
A recent example: I built a phishing-email classifier on 108K+ emails
(project name: FoxLens, live demo on Streamlit). Rather than reporting
accuracy alone, I stress-tested it, traced a real weakness (over-reliance
on link presence) back to the training data, and documented it publicly
the same standard I apply to every project: a working model, a meaningful
evaluation, and an honest account of where it may struggle.
Need deployment or API integration? Happy to scope that separately.
Expertise:
Classification
•
Predictive analysis
Programming language:
Python
•
Other
Frameworks:
Scikit-learn
•
Panda
•
Other
Tools:
Jupyter Notebook
•
Excel
My Portfolio
FAQ
What do you need from me to get started?
Please provide your dataset (CSV, Excel, or another supported format), a brief description of the classification problem, and the expected output. If you already have a target column or specific requirements, include those as well.
Can you work with both numerical and text data?
Yes. I can build classification solutions for numerical, categorical, and text data, depending on the structure and requirements of your project.
What types of classification problems do you handle?
I can work with binary, multiclass, and multilabel classification problems. The appropriate approach depends on your dataset and objective.
Can you improve or optimize an existing model?
Yes. If you already have a classification model, I can evaluate it, identify potential weaknesses, tune its parameters, and compare it with other suitable approaches.
Will I receive the source code and trained model?
Yes. You will receive the Python source code and the trained model or pipeline produced for your project, along with the relevant results and instructions needed to use it.
Can you deploy the model or integrate it into an API?
Yes, deployment and API integration can be provided for projects that require them. Please include your deployment requirements so I can determine the appropriate scope and provide a custom offer when necessary.
Can you work with large datasets or complex projects?
I can work with small to medium-sized datasets within the scope of this Gig. Larger datasets, complex pipelines, or projects requiring substantial computational resources may require a custom offer.