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I will build machine learning models for data analysis prediction
AI ML Engineer Cybersecurity Expert Computer Vision Specialist Devops
AI/ML engineer, DevOps & cybersecurity professional with expertise in Computer Vision, NLP, SOC Analysis, SCADA, and AIOps.
AIOps Level 6 certified. CISSP-level knowledge. Kubernetes cleared. Built a...
About this Gig
I will build custom machine learning models for data analysis, prediction, and business intelligence using Python, scikit-learn, XGBoost, and TensorFlow.
What you get:
Regression & classification models
Clustering & anomaly detection
Time series forecasting
Data cleaning & preprocessing
Interactive dashboards & visualizations
Clean, documented, production-ready code
AIOps Level 6 certified. 2+ years experience.
Message me before placing an order!
Programming language:
Python
Other Data Science & ML Services I Offer
FAQ
What data do I need to provide before you start?
Please share your dataset in any common format such as CSV, Excel, JSON, or SQL. Also describe your goal — what you want to predict, classify, or analyze. The cleaner and larger your dataset, the better the model accuracy.
What if I don't have a dataset?
No problem. I can help you source publicly available datasets, generate synthetic data, or scrape data for your use case. We can discuss the best approach during our consultation before you place an order.
Which ML algorithms do you use?
I use a wide range including Linear and Logistic Regression, Random Forest, XGBoost, LightGBM, K-Means, DBSCAN, LSTM for time series, and deep learning with TensorFlow and PyTorch. I always select the best algorithm for your specific problem and data.
How accurate will the model be?
Accuracy depends on the quality and size of your dataset and the complexity of the problem. I always perform hyperparameter tuning and cross-validation to maximize performance, and I report full evaluation metrics so you can see exactly how the model performs.
Can the model be deployed to a web app or API?
Yes. The Premium package includes REST API and cloud deployment using Flask or FastAPI with Docker. You can then call the model from any application. Deployment is also available as an add-on for Basic and Standard packages.
Will I receive the source code?
Yes. All packages include full source code delivered as a Jupyter Notebook or Python scripts via GitHub or ZIP file. The code is clean, well-commented, and includes setup instructions so you can run and extend it yourself.
Can you build a dashboard to visualize the results?
Yes. The Premium package includes an interactive Streamlit or Plotly dashboard. For Basic and Standard, I provide charts and visualizations inside the Jupyter Notebook. A standalone dashboard is also available as an add-on.
Do you offer a consultation before I place an order?
Yes — always message me before ordering. I offer a free pre-order discussion to understand your project, recommend the right package, and make sure I can deliver exactly what you need. Standard includes 30 min and Premium includes 60 min of live consultation.
