You will get I will build explainable AI and machine learning models
Project details
Need a reliable and explainable machine learning solution for your data?
I am a PhD researcher in Machine Learning and Explainable AI with experience in predictive modeling, data analytics, feature engineering, and model interpretation. I develop custom machine learning solutions using Python, Scikit-learn, TensorFlow, PyTorch, and XGBoost.
My services include data preprocessing, exploratory data analysis, classification, regression, model optimization, and explainability using SHAP and LIME. I provide clean, well-documented code, visualizations, performance reports, and actionable insights.
Whether you need a machine learning model for business analytics, healthcare, research, or academic projects, I can help transform your data into accurate and interpretable predictions.
What you will receive:
✔ Python source code
✔ Jupyter Notebook
✔ Data visualizations
✔ Model evaluation report
✔ Explainability report (SHAP/LIME)
✔ Documentation and recommendations
Let's build a machine learning solution tailored to your needs.
I am a PhD researcher in Machine Learning and Explainable AI with experience in predictive modeling, data analytics, feature engineering, and model interpretation. I develop custom machine learning solutions using Python, Scikit-learn, TensorFlow, PyTorch, and XGBoost.
My services include data preprocessing, exploratory data analysis, classification, regression, model optimization, and explainability using SHAP and LIME. I provide clean, well-documented code, visualizations, performance reports, and actionable insights.
Whether you need a machine learning model for business analytics, healthcare, research, or academic projects, I can help transform your data into accurate and interpretable predictions.
What you will receive:
✔ Python source code
✔ Jupyter Notebook
✔ Data visualizations
✔ Model evaluation report
✔ Explainability report (SHAP/LIME)
✔ Documentation and recommendations
Let's build a machine learning solution tailored to your needs.
Machine Learning Tools
ChatGPT, Keras, MATLAB, Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$150
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 3 | 5 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 8 | 15 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$20
Additional Model Variation
(+ 3 Days)
+$40
Additional Scenario
(+ 3 Days)
+$30Frequently asked questions
About Najib Ur
Machine Learning Engineer | Data Scientist | Explainable AI
Peshawar, Pakistan - 8:50 pm local time
• Researcher in Machine Learning, Explainable AI, and data-driven decision systems
• Strong problem-solving skills with both academic and industry experience
• Experienced in healthcare AI, predictive modeling, and real-world dataset analysis
• Strong technical documentation, reporting, and stakeholder communication skills
• BIM Lead with experience in data center project coordination
Expertise
• Machine Learning and Predictive Analytics
• Data Cleaning and Feature Engineering
• Classification and Regression Models
• Explainable AI using SHAP and LIME
• Data Visualization and Model Evaluation
• Research Support for thesis, journal papers, and academic projects
• BIM coordination, estimation, and engineering documentation
Technical Software & Tools
• Python, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch
• SHAP, LIME, Matplotlib, Seaborn, XGBoost
• MATLAB, Simulink, C/C++
• Autodesk Revit, AutoCAD
• Microsoft Excel, Word, PowerPoint
I combine research, machine learning, and engineering experience to deliver reliable, well-documented, and practical solutions for clients.
Steps for completing your project
After purchasing the project, send requirements so Najib Ur can start the project.
Delivery time starts when Najib Ur receives requirements from you.
Najib Ur works on your project following the steps below.
Revisions may occur after the delivery date.
Project Review and Requirement Analysis
I will review your dataset, objectives, constraints, and expected deliverables to define the best machine learning approach.
Data Cleaning and Feature Engineering
I will preprocess the data, handle missing values, perform feature engineering, and prepare the dataset for model development.