Phoenix - Your AI AssistantBuild a ready-to-run ML model in 3 days
Delivery in
3 days
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What you get with this Offer
-> Need a ready-to-use Machine Learning model?
I will deliver a complete ML prototype in 3 days—ideal for datasets up to 20k rows (CSV/Excel).
-> What You’ll Get
• Data cleaning & preparation
• 1 tuned classification or regression model (Python, scikit-learn)
• Performance report (Accuracy, F1-score or R²) in PDF
• Fully commented Jupyter Notebook, ready to run or extend
-> Optional Add-Ons (+$50, +1 day each)
• Hyperparameter tuning for higher accuracy
• Feature engineering to boost model performance
• Extended analysis / deeper insights
• Handling additional small datasets
-> What I Need From You
• Dataset (CSV/Excel) with a clearly labeled target column
• Short description of the problem (classification or regression)
• Preferred metric, if any
-> Why Choose Me
• Fast 3-day turnaround
• Well-documented, reusable code
• Clear, professional communication
I will deliver a complete ML prototype in 3 days—ideal for datasets up to 20k rows (CSV/Excel).
-> What You’ll Get
• Data cleaning & preparation
• 1 tuned classification or regression model (Python, scikit-learn)
• Performance report (Accuracy, F1-score or R²) in PDF
• Fully commented Jupyter Notebook, ready to run or extend
-> Optional Add-Ons (+$50, +1 day each)
• Hyperparameter tuning for higher accuracy
• Feature engineering to boost model performance
• Extended analysis / deeper insights
• Handling additional small datasets
-> What I Need From You
• Dataset (CSV/Excel) with a clearly labeled target column
• Short description of the problem (classification or regression)
• Preferred metric, if any
-> Why Choose Me
• Fast 3-day turnaround
• Well-documented, reusable code
• Clear, professional communication
What the Freelancer needs to start the work
✅ Dataset (CSV/Excel) with clearly labeled target variable
✅ Short description of the problem (classification or regression)
✅ Preferred metric (if any, e.g., Accuracy, R²)
✅ Optional add-on requirements (if they choose any)