
Machine learning and Data Science: we do it and explain it
We work as a team. You send a machine learning or data analysis task, and we do it in Python: data cleaning, exploratory analysis, training models with scikit-learn, measuring quality with metrics, and charts in matplotlib or seaborn. Then we explain why this approach was chosen, how the features are built and what the results mean, on a call or in a review. We hand over the Jupyter notebook, the source code and short notes. To be honest: you submit the work, and we help you understand the solution and prepare to defend it.
from 4,500 ₸ (≈ $9) one-off
timeline: 1–4 working days
- Reviewing the assignment and agreeing on the result you need
- Data cleaning and preparation: missing values, outliers, feature encoding
- Exploratory analysis and charts with short conclusions
Order
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This is a starting price; we give the final amount before work starts. USD is approximate.
What is included
- Reviewing the assignment and agreeing on the result you need
- Data cleaning and preparation: missing values, outliers, feature encoding
- Exploratory analysis and charts with short conclusions
- Training models with scikit-learn, evaluated by metrics and checked on a held-out set
- A Jupyter notebook with comments and the Python source code
- A call or review where we explain the solution and answer questions
- A short summary of the topic and questions that may come up at the defence
Who it is for
For learners who are studying data analysis or machine learning and want to work through an assignment step by step. It suits you if you need to understand every step, not just receive a file. It is not a fit if you want work done without understanding or your own involvement; we do not support that format.
Not included
To avoid surprises, here is what the base price does not cover and what is discussed separately:
- Doing the work without your involvement and understanding: we explain the solution but do not submit it for you
- A guarantee of a result or a pass: the result depends on your course or reviewer requirements
- Work with big data on a cluster and training neural networks on GPUs, unless agreed separately
- Fixing the assignment after the task changed, if the new version is not agreed
FAQ
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Shall we discuss your project?
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