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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Stack & Frameworks

Python, TensorFlow, Keras
Buyer gets solutions built on industry-standard ML frameworks, with source code included across all tiers — making handoff and future maintenance straightforward.

Deliverables Included

End-to-End: Model + API + Cloud + Docs
Every package includes preprocessing, model creation, validation, fine tuning, cloud deployment, API integration, and full documentation — not just a notebook file.

Turnaround

From 1 Day (Basic)
The Basic tier promises a 1-day delivery for a complete ML task with dataset and report, making this suitable for time-sensitive prototypes or proof-of-concept projects.

Scope Coverage

RAG, LLMs, Agents, n8n & Classic ML
Service spans both traditional ML (XGBoost, KNN, clustering, regression) and modern GenAI workloads (RAG pipelines, LLM integration, AI agents, n8n automation), covering a wide range of project types.

What You'll Receive

Formats:
Custom Code
Source Files
Written Report
Cloud Link
Delivery Method:
Order Manager
Notes: Deliverables are shared via the order manager. You will receive the full source code, a model documentation report, and where applicable a cloud deployment link or API endpoint details. All files are clearly labelled and accompanied by notes explaining how to run and use the solution.

Full Description

You need a machine learning or AI solution that actually works in production — not a rough notebook, not a half-finished prototype. You need clean data pipelines, a rigorously validated model, well-written source code, and clear documentation you can hand to your team. That is exactly what this service delivers.

Zinn Digital is a London-based certified Data Science and Machine Learning practice with 5+ years of hands-on experience and a certification from DeepLearning.AI. Every engagement is grounded in sound engineering practice: thorough research, careful data preprocessing, principled model design, rigorous validation, and honest performance reporting.

**What Is Covered**

This service spans the full machine learning workflow. Starting from your raw dataset, work includes research into the best modelling approach, data preprocessing and augmentation, model creation, validation and testing, performance monitoring, hyperparameter tuning and regularisation, and fine-tuning for accuracy. Where required, cloud deployment and API integration are included, and you receive the full source code alongside a clear model documentation report — so you understand exactly what was built and why.

Capabilities covered include supervised and unsupervised learning, classification (image, multi-label, multi-class), regression, clustering, dimensionality reduction, stochastic gradient descent, Decision Trees, Random Forest, XGBoost, KNN, K-Means, deep learning with TensorFlow and Keras, data visualisation, and exploratory data analysis.

This service also extends into Generative AI, RAG (Retrieval-Augmented Generation), LLM integration, AI agents, and AI automation workflows including n8n — making it suitable for teams building intelligent, context-aware applications as well as classical ML pipelines.

**How It Works**

After placing your order, share your dataset, objectives and any relevant context via the order chat. If anything further is needed, you will be contacted promptly. Work begins immediately. You receive the completed model, source code and documentation within the agreed delivery window. Unlimited revisions ensure the output meets your requirements precisely.

**Who This Is For**

This service suits startups building their first AI product, data teams needing specialist resource, researchers requiring production-ready implementations, and businesses automating decision-making or integrating LLMs into existing workflows. Whether your project is a focused single-model task or a broader AI pipeline, this service scales accordingly.

**Why Zinn Digital**

Certified by DeepLearning.AI, proficient in Python, TensorFlow, Keras, PyTorch, Scikit-learn, FastAPI and more, and committed to timely delivery with well-documented, maintainable work — this is professional ML engineering, not freelance guesswork. Please get in touch via the order chat before placing a large or complex order so scope can be confirmed upfront.

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Compare Packages

FeatureCoreStandardPremium
Delivery Time1 days2 days4 days
Revisionsunlimitedunlimitedunlimited
Research, data preprocessing & augmentation✓✕✕
Model creation, validation & testing✓✕✕
Performance monitoring & fine-tuning✓✕✕
Cloud deployment & API integration✓✕✕
Full source code included✓✓✓
Model documentation report✓✓✕
All Core deliverables included✕✓✕
Extended delivery window for deeper model iteration✕✓✕
Hyperparameter tuning & regularisation✕✓✕
Exploratory data analysis & visualisation✕✓✕
All Standard deliverables included✕✕✓
Suitable for complex pipelines, RAG, LLM or AI agent builds✕✕✓
AI automation workflows (including n8n) in scope✕✕✓
Extended delivery window for thorough build & testing✕✕✓
Comprehensive model documentation report✕✕✓

Portfolio

Examples of the seller's work related to this Zinn.

Build Your Machine Learning or AI Model End-to-End

Build Your Machine Learning or AI Model End-to-End

Extra Information

Tools I Use

Languages & Core Libraries:Python, Pandas, NumPy, Matplotlib
ML & Deep Learning Frameworks:TensorFlow, Keras, PyTorch, Scikit-learn, XGBoost
Deployment & Integration:FastAPI, Cloud Deployment, API Integration, n8n
Generative AI & LLM Tooling:RAG pipelines, LLM integration, AI Agents, AI Automation

Perfect For

Ideal Clients:Startups building AI-powered products, Data teams requiring specialist ML resource, Researchers needing production-ready model implementations, Businesses automating decisions with ML or integrating LLMs, Teams building RAG or AI agent systems

My Process

Step-by-Step Workflow:1. Receive dataset, objectives and context from the buyer, 2. Research and select the optimal modelling approach, 3. Data preprocessing, cleaning and augmentation, 4. Model creation and architecture design, 5. Validation, testing and performance monitoring, 6. Hyperparameter tuning, regularisation and fine-tuning, 7. Cloud deployment and API integration where required, 8. Deliver source code and model documentation report

Frequently Asked Questions

For straightforward, well-defined tasks you are welcome to order directly. For complex, multi-model or Generative AI projects, it is strongly recommended to get in touch via the order chat first so scope, timeline and requirements can be confirmed before work begins.

You will need to supply your dataset (or access to it), a clear description of your objective — for example, the prediction target, classification labels, or the business problem you are solving — and any relevant context such as existing code or preferred frameworks. The more detail you provide, the faster work can begin.

Work is carried out primarily in Python, using TensorFlow, Keras, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib and FastAPI, among others. For AI automation and agent workflows, n8n is also used. The most appropriate tools for your specific task will always be selected.

Every model goes through thorough validation and testing before delivery. Best practices in code quality, documentation and performance reporting are followed throughout. You will receive clear documentation explaining what was built, how it was tested, and what the results mean.

Revisions cover adjustments, corrections and refinements within the agreed project scope. If you would like to change the core objective or significantly expand the scope after delivery, that would be treated as a new or extended order — which can be discussed via the order chat.

Yes. Post-delivery support is available to ensure the solution works as expected and to make any necessary adjustments. An extended 7-day support add-on is also available if you anticipate needing ongoing assistance after delivery.

The Core and Standard tiers cover focused tasks well within 1–2 days. For complex pipelines, multi-model systems, RAG builds or LLM integrations, the Premium tier allows 4 days. For larger, multi-week engagements, please discuss your requirements before ordering so a realistic timeline can be agreed.

Customer Reviews

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Sandeep is well-versed in his craft. I'll work with him again in the future for more machine learning projects I have coming up.

Truly exceptional Zinn Hub expert, delivered outstanding AI project results with professionalism, precision, and innovation!

Team player! Thanks for your work.

Great job, highly recommend.

Well done! Whole experience was perfect! I highly recommend this seller. He went beyond the expectations. If you want to save time and budget go with him!

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