I will build machine learning classification models using python
Network Security Engineer, CCNP Certified, Firewall, VPN, SIEM Expert
About this Gig
Need a classification model that actually performs, not just a notebook that runs?
I build custom machine learning classification models in Python using scikit-learn and XGBoost for tasks like churn, fraud, spam, sentiment, medical, and malware detection.
My background is ML + cybersecurity: I built a real-time Android ransomware detector (XGBoost, Kafka, Docker) with 97.42% accuracy and ~53 ms latency, and I'm first author of a published paper on AI-based intrusion detection.
WHAT YOU GET:
Data cleaning and preprocessing
Feature selection and engineering
Imbalanced data handling (SMOTE, class weights)
Random Forest, Decision Tree, Logistic Regression, XGBoost
Hyperparameter tuning and cross-validation
Accuracy, Precision, Recall, F1, ROC-AUC, Confusion Matrix
Clean, commented Python code (Jupyter Notebook)
Plain-English results summary
PACKAGES:
Basic: 1 model, preprocessing, evaluation
Standard: 2 models, tuning, cross-validation, detailed evaluation
Premium: up to 3 models, tuning, full report, source code
Message me before ordering with your dataset (CSV/Excel), target column, and goal so I can confirm scope and price.
Expertise:
Feature learning
•
Classification
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Excel
•
Colab
FAQ
What do you need to start my project?
Please provide your dataset in CSV or Excel format, project objectives, target variable, and any specific requirements.
Which machine learning algorithms do you use?
I work with Python classification algorithms such as Decision Trees, Random Forest, Logistic Regression, and XGBoost.
Will you provide the Python source code?
Yes. Python source code is included in all packages. Documentation is included in Standard and Premium.
Can you work with cybersecurity datasets?
Yes. I have experience with machine learning for ransomware detection and can work on suitable cybersecurity classification datasets.
Do you guarantee a specific model accuracy?
No. Model performance depends on data quality, features, and the problem. I use appropriate evaluation methods and report the actual results.

