You have the data but no working model, or your baseline results are not good enough. We prepare your data, train and compare classification or regression models against your success metric, and deliver the best model with its code, notebook and a clear evaluation report.
Is this your problem?
You have useful data but no machine learning model.
Your baseline model's results are not good enough to use.
Your team does not have ML experience, or no time for it.
You need a model you can trust, with clear evidence of how well it works.
Why this happens
Building a useful model takes more than calling a library. The data needs careful preparation, several algorithms must be compared fairly, the evaluation has to match your real goal, and the result must be packaged so your team can actually use it. Without ML experience on the team, projects tend to stall at the notebook stage.
What we do
Prepare the data — cleaning, encoding, scaling and a leak-free split.
Train and compare models — from simple baselines to gradient boosting and neural networks.
Evaluate against your success metric, not just accuracy.
Export the best model with the code to run predictions.
What you get
Trained model in a standard format
Notebook and code for training and prediction
Evaluation report with metrics, comparisons and limitations
What we need from you
Your dataset
The target you want to predict
Your success metric (for example, accuracy, recall or error)
Common cases we handle
Churn, fraud, lead scoring and demand prediction
Classification and regression on tabular data
scikit-learn, XGBoost, LightGBM, PyTorch and TensorFlow
Models ready to deploy as an API
Pricing and turnaround
Starting price | From $149 |
Delivery | Typically 3 days |
Priority delivery | 12h for +50% |
Includes | Scope check, the work, deliverables and handover notes |
Every task gets a fixed price, confirmed after the free scope check. Your code and data are used only for this task, and we sign an NDA on request.
How it works
Submit your task. Tell us what you need and share the files or access listed above.
Free 30-minute scope check. An engineer confirms the scope and gives you a fixed price before any work starts.
We do the work. Your task is handled by Codersarts' own engineering team — not a freelancer marketplace.
Delivery and handover. You get the deliverables, a walkthrough of what changed, and time to ask questions.
Related tasks
Prepare Dataset for ML — if you only need the data prepared for your own team to train on.
Clean & Prepare Dataset — if your raw data needs cleaning first.
PDF & Invoice to Structured Data — to turn documents into training data.
Need more than a single task?
For a production ML system with deployment and monitoring, see Codersarts Build Solutions.
FAQ
How much does it cost to train a model on my data?
From $149 for a Deep Task. The fixed price is confirmed after a free 30-minute scope check.
How long does it take?
Typically 3 days. Priority delivery is available for +50%.
What if the model is not accurate enough?
The evaluation report shows exactly what the data supports and what would improve results, such as more data or new features.
Can you deploy the model too?
Yes, as a follow-up task. We can deploy it as an API on your preferred cloud.
Is my data confidential?
Yes. Your data is used only for this task, and we sign an NDA on request.
Prefer to learn it yourself? Explore hands-on courses at Codersarts Labs.