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Fiverr Pro
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USD
I will build custom machine learning models for prediction and classification
AI and Machine Learning Developer , Python, RAG and AI Agents
I am a Python AI and machine learning developer building document chatbots, AI agents and predictive models. I work with LangChain, LangGraph, Django, DRF, scikit-learn and TensorFlow. My experience a...
About this Gig
Turn your tabular data into a machine learning model for prediction or classification.
Using Python, scikit-learn, Pandas and NumPy, I will prepare your data, train models and evaluate performance on held-out test data.
BASIC: One model on a prepared CSV dataset, up to 10,000 rows and 20 input columns, with basic missing-value handling and categorical encoding.
STANDARD: Data cleaning, comparison of up to 3 models and tuning of one selected model, up to 50,000 rows and 40 input columns.
PREMIUM: Standard features plus one Django REST Framework prediction endpoint, input validation, API documentation and local setup.
Each package covers one dataset and one prediction target. All include source code, a saved model, evaluation results and setup instructions.
Accuracy depends on data quality and the problem; a specific score is not guaranteed.
Data collection, manual labeling, forecasting, CNNs, LLM fine-tuning and hosting are outside these packages.
Message me with a dataset sample, target column and intended use before ordering so I can check feasibility and confirm scope.
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Colab
FAQ
What do you need to start?
Please share a dataset sample, the column you want to predict, what each column means and how you will use the predictions. Include any preferred evaluation metric. Share only data you are authorized to use and remove unnecessary personal information.
Which datasets and problems are included?
Packages cover one tabular CSV dataset and one classification or regression target. Basic allows 10,000 rows and 20 input columns; Standard and Premium allow 50,000 rows and 40 input columns. Image, audio, free-text and forecasting projects need separate assessment.
Does my dataset need to be labeled?
Yes. Training data must contain the target values you want the model to learn, such as a category or numeric outcome. Basic requires prepared data. Standard and Premium include agreed cleaning. Data collection and manual labeling are not included.
Can you guarantee high accuracy?
No specific accuracy score is guaranteed. Results depend on data quality, useful predictive patterns and task difficulty. I evaluate on held-out data using suitable metrics and explain limitations. We agree on deliverables and evaluation criteria before starting.
What does model comparison and tuning include?
Standard and Premium compare up to three suitable models and tune one selected model within an agreed search budget. You receive evaluation results and the selected model. Unlimited experiments, additional datasets and new prediction targets are outside scope.
What does the Premium API include?
Premium includes one DRF endpoint that accepts agreed input fields and returns predictions from the delivered model, with input validation, API documentation and local setup. Hosting, deployment, dashboards, authentication and existing-app integration are quoted separately.
Will I receive the code and trained model?
Yes. All packages include source code, the saved model and preprocessing components, evaluation results, dependencies and setup instructions. You can run predictions locally. Third-party libraries remain subject to their licenses.
What do revisions cover?
Revisions cover adjustments within the agreed dataset, target and deliverables, such as result presentation or API response formatting. They do not cover new targets, replacement datasets or additional features. Basic includes 1 revision, Standard 2 and Premium 3.
