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Fiverr Pro
English
$
USD
I will build machine learning models for prediction, classification
About this Gig
Want to turn your data into predictions, classifications or an automated ML workflow?
I will build machine learning models using Python for prediction, classification, regression or forecasting. Depending on your package, I can create a simple ML model, a model with preprocessing and evaluation, or an automated local machine learning workflow that loads data, processes it, trains or runs the model, and exports prediction results.
This gig is ideal for:
- Machine learning prediction models
- Classification and regression problems
- Forecasting and decision-support models
- Data preprocessing for ML
- Model testing and evaluation
- Automated ML pipelines/workflows
- CSV, Excel or database-driven datasets
- Reusable Python ML scripts or notebooks
For the Premium package, I can create a reusable workflow where data is taken from an agreed source, such as CSV, Excel or a simple database, then cleaned, processed, used for machine learning, and exported as results without manually running each step separately.
Tools may include Python, pandas, scikit-learn, TensorFlow, Jupyter Notebook, Excel and SQL.
Please message me before ordering so I can review your dataset, target variable and project goal.
My Portfolio
FAQ
Do I need to message you before ordering?
Yes, please message me before ordering. I need to check your dataset, target variable, project goal and whether machine learning is suitable for your data before confirming the right package.
What type of machine learning models can you build?
I can build prediction, classification, regression and forecasting models using Python. The exact model depends on your dataset, target variable and project requirements.
What is included in the automated ML workflow?
The automated ML workflow can load data from an agreed source such as CSV, Excel or a simple database, preprocess the data, run the model and export prediction results using a reusable Python script or notebook.
Can you work with messy or unclean data?
Yes, but the package matters. Basic requires a clean dataset. Standard and Premium can include data preprocessing, missing-value handling, formatting, feature preparation and model-ready data cleaning.
What tools do you use?
I mainly use Python, pandas, scikit-learn, Jupyter Notebook, Excel and SQL. Depending on the project, I may also use TensorFlow, R or other suitable machine learning and data analysis tools.
Will you provide source code and documentation?
Yes. All packages include source code and basic documentation. I also explain the model output, evaluation metrics and how to run the delivered files.
Can you guarantee high model accuracy?
No one can honestly guarantee high accuracy before reviewing the data. Model performance depends on data quality, features, sample size and the relationship between inputs and the target variable.
Do you provide cloud deployment or API integration?
Not in the standard packages. Premium focuses on a local automated ML workflow. Cloud deployment, API integration or real-time production systems require a custom offer.
