Perne
Machine learning and Data Science: we do it and explain it: illustration 1
Study and IT help

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

The service name is added to the message for you.

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

The Jupyter notebook, the code and the explanations are handed over to you, and you can use them for study and for your own work. If the solution uses open-source libraries, we list their licences. You are responsible for submitting the work and its result, because you submit the assignment yourself.

The price includes two revisions of the solution after the review: for example, clarifying an explanation or fixing one step, if the assignment stays the same. If the task changes or the whole solution must be redone with other data, it counts as new work and is estimated separately.

Usually 1 to 4 working days depending on the size of the assignment and the complexity of the data. We take urgent tasks by agreement, but we cannot guarantee a deadline before we see the task. We will name the exact date after we have seen the assignment.

The full assignment text, the data files or a link to them, the requirements for metrics and submission format, and the deadline. If the course gave instructions on language or libraries, send them too. A short note on what is already clear to you and what is not will also help us.

We work with Python 3 using pandas, NumPy, scikit-learn, matplotlib and seaborn, and, by separate agreement, PyTorch or TensorFlow for neural networks. If your course requires a specific version or set of libraries, tell us, and we will adapt the solution to your environment.

This happens: the data may be structured differently from the example, or the metric may differ. We show exactly where it diverges and explain the reason, rather than adjusting the numbers. If the gap comes from the assignment itself, we discuss with you how best to describe it in your work.
Python from scratch

Python from scratch

One-to-one Python lessons for adults and learners: from variables to scripts and your first Telegram bot.

from 3,500 ₸ (≈ $7) per lesson

Timeline: start within 1 working day

A custom ML model for your task

A custom ML model for your task

We train a machine learning model on your data so it solves a specific task: a forecast, a classification or anomaly detection.

from 150,000 ₸ (≈ $300) one-off

Timeline: timeline: 14–30 working days

Shall we discuss your project?

The product name and a link to this page are filled into the WhatsApp message for you.

Or send a request

We will reply in the channel you choose: WhatsApp, Telegram, phone or email. Your contact is used only to reply.

Service
How to reply

from 4,500 ₸ (≈ $9) one-off