You will get a well-developed Logistic Regression model for classification
Project details
What sets this project apart is the blend of precision, efficiency, and a deep understanding of logistic regression to create a highly accurate classification model. My expertise in data preprocessing, model training, and validation ensures that the final model is not only accurate but also robust and reliable. With a proven track record of achieving high accuracy using advanced techniques like k-Fold Cross Validation, I deliver results that stand out. My commitment to clear communication and customization ensures that each project is tailored to meet the specific needs and goals of the client, making this a truly personalized solution.
Machine Learning Tools
NumPy, pandas, Python, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$30
|
Standard
$40
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 4 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $20
Additional Revision
+$8About Samama
Machine Learning | Computer Vision Engineer
Lahore, Pakistan - 8:17 pm local time
I’m an Applied AI Engineer specializing in Computer Vision, Medical AI, and end-to-end ML pipelines — from raw data to deployed, production-ready solutions.
WHAT I DO
I take full ownership of AI projects:
∙ Problem scoping and solution design
∙ Data processing and model development
∙ Evaluation, deployment (API / web app)
∙ Explainability and production readiness
SPECIALIZED IN
Computer Vision — classification, object detection, segmentation (CNNs, U-Net)
Medical AI — clinical-grade pipelines with Grad-CAM and confidence-aware outputs
Geospatial AI — 90% annotation cost reduction using weak supervision
Explainable AI — predictions your stakeholders can understand and trust
RESULTS
∙ 83.5% accuracy on a medical imaging system, fully interpretable
∙ 79.7% segmentation accuracy with 99% less labeling effort
∙ Real-time inference with production-ready Gradio interfaces
TECH STACK
PyTorch, OpenCV, Scikit-learn, NumPy, Pandas, CNNs, U-Net, DenseNet, Hugging Face, Gradio
WHY CLIENTS CHOOSE ME
I think like a researcher and execute like an engineer. You get clean, documented, explainable code — not half-finished notebooks or black-box models. Clear communication, full ownership, real results.
Let’s build something that actually works. Send me a message.
Steps for completing your project
After purchasing the project, send requirements so Samama can start the project.
Delivery time starts when Samama receives requirements from you.
Samama works on your project following the steps below.
Revisions may occur after the delivery date.
Data Preprocessing
-Review and clean the dataset to ensure it is ready for analysis. -Perform feature selection, normalization, or other preprocessing techniques as needed.
Model Development
Build the Logistic Regression model based on the provided requirements. Optimize model parameters to improve accuracy and performance.