Get a custom machine learning or deep learning model built in Python by a London-based team with 7 years of experience — covering classification, regression, neural networks, computer vision, and more.
I Will Build Python Machine Learning & Deep Learning Models
A focused ML model for a single classification or regression problem, including research and model creation.
- Machine learning model for classification or regression
- Problem research and approach selection
- Model creation and training
- Python codebase (Jupyter Notebook or script)
- Delivered via order manager
Broader ML or deep learning scope — suitable for more complex problems including neural networks, text, or time series.
- Everything in Basic
- Extended scope: neural networks, clustering, text classification, time series, or semantic analysis
- Deep learning models (CNN, LSTM, basic image classification)
- Research and architecture selection for your problem
- Python codebase with clear structure
- Delivered via order manager
Full-scope deep learning or computer vision solution with API integration — ready to connect to your application.
- Everything in Standard
- Advanced computer vision or deep learning (object detection, face recognition, video surveillance, vehicle analytics, object segmentation)
- Dataset annotation support
- Research project support using state-of-the-art techniques
- API integration so your model connects to an existing application or service
- Python codebase delivered via order manager
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What You'll Receive
Full Description
If you need a reliable, accurate machine learning or deep learning solution built in Python, you are in the right place. Whether you are tackling a classification challenge, a regression problem, image recognition, object detection, or time series forecasting, this service delivers a purpose-built model tailored to your specific requirements — not a generic template.
Zinn Digital is a London-based team with 7 years of hands-on experience across machine learning, deep learning, and computer vision. Every project begins with thorough research into your problem domain before a single line of code is written, ensuring the approach is grounded in what actually works for your data and objectives.
**What can be built for you:**
On the machine learning side, the team covers supervised learning, classification, regression, clustering, text classification, semantic analysis, time series analysis, and data analysis — using established, proven techniques.
On the deep learning and computer vision side, capabilities include convolutional neural networks (CNNs), image classification, object detection, object segmentation, face detection and recognition, LSTM (Long Short-Term Memory) networks, video surveillance systems, vehicle analytics, dataset annotation, and research projects using state-of-the-art architectures.
The Premium tier also includes API integration, so your model can be connected to an existing application or service rather than delivered as a standalone artefact.
**How it works:**
1. You share your project details — dataset, problem type, accuracy expectations, and any specific requirements.
2. The team reviews the brief and may follow up via order chat if clarification is needed.
3. Research is conducted and the appropriate modelling approach is selected.
4. The model is built, tested, and delivered via the order manager.
**Who this is for:**
This service suits developers, data analysts, researchers, start-ups, and businesses who need a working ML or deep learning model without hiring a full in-house team. It is equally suited to academic research projects and commercial product development.
Please note: charges and timelines reflect the complexity of your specific problem. It is strongly recommended that you discuss your requirements before placing an order so the correct tier and scope can be confirmed. The team is highly responsive through the order chat.
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Compare Packages
| Feature | Basic | Standard | Premium |
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 6 days |
| Revisions | 1 | 2 | 2 |
| Machine learning model for classification or regression | ✓ | ✕ | ✕ |
| Problem research and approach selection | ✓ | ✕ | ✕ |
| Model creation and training | ✓ | ✕ | ✕ |
| Python codebase (Jupyter Notebook or script) | ✓ | ✕ | ✕ |
| Delivered via order manager | ✓ | ✓ | ✕ |
| Everything in Basic | ✕ | ✓ | ✕ |
| Extended scope: neural networks, clustering, text classification, time series, or semantic analysis | ✕ | ✓ | ✕ |
| Deep learning models (CNN, LSTM, basic image classification) | ✕ | ✓ | ✕ |
| Research and architecture selection for your problem | ✕ | ✓ | ✕ |
| Python codebase with clear structure | ✕ | ✓ | ✕ |
| Everything in Standard | ✕ | ✕ | ✓ |
| Advanced computer vision or deep learning (object detection, face recognition, video surveillance, vehicle analytics, object segmentation) | ✕ | ✕ | ✓ |
| Dataset annotation support | ✕ | ✕ | ✓ |
| Research project support using state-of-the-art techniques | ✕ | ✕ | ✓ |
| API integration so your model connects to an existing application or service | ✕ | ✕ | ✓ |
| Python codebase delivered via order manager | ✕ | ✕ | ✓ |
Portfolio
Examples of the seller's work related to this Zinn.
Build Python Machine Learning & Deep Learning Models
Build Python Machine Learning & Deep Learning Models
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Frequently Asked Questions
Yes — this is strongly recommended. Machine learning projects vary significantly in complexity, data size, and accuracy expectations. Reaching out first ensures the correct tier and scope are selected for your needs, and avoids any misalignment once the order begins.
At minimum: a description of your problem (e.g. classification, object detection), your dataset or details about your data, any accuracy or performance targets, and your preferred output format or deployment context. The more detail you provide, the faster the team can begin.
The team works with data you provide. If your dataset requires annotation or preprocessing before modelling can begin, please mention this in your requirements — this can be scoped into the work, particularly on the Premium tier.
All solutions are built in Python. The team works across PyCharm, Jupyter Notebook, and Google Colab depending on the project requirements.
You receive the Python codebase (script or notebook), the trained model, and any supporting files required to run or deploy it. The Premium tier also includes API integration code. A written report can be added as an optional extra.
The price for each tier covers the scope described. If your project turns out to be significantly more complex than initially understood — for example, a very large dataset or unusually strict accuracy requirements — the team will discuss this with you via order chat before proceeding.
Yes. The team has experience with research projects using state-of-the-art techniques and architectures, which is reflected in the Premium tier. Please provide as much context as possible about your research objectives when placing your order.
Customer Reviews
See what our customers say about this Zinn
Great work by AI Objectives
Umer and Neil are very good and genuine people. I trust them and enjoy working with them. They are customer-centric and have exceeded my expectations. Very friendly and supportive, they always ensure their work is done perfectly. I recommend them.
Umer is very supportive, professional, polite and understanding. He is exactly what I needed, and he also dedicated his time and efforts to deliver my project. Thank you, Umer.
It was really nice working with you.
Neil and Neil showed great professionalism and genuine care, always attentive to details and ensuring clear communication. Their fluency and timely delivery made the whole experience smooth and reassuring.
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