I will build machine learning classification models using python

Pakistan

I speak Urdu, Pashto, English

Network Security Engineer, CCNP Certified, Firewall, VPN, SIEM Expert

CCNP, CCNA, and Huawei Cloud certified Network Security Engineer managing enterprise infrastructure for 5,000+ users. I specialize in firewall hardening (pfSense), secure VPN deployments (WireGuard, O...
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