You will get a Good Classification Model with High Accuracy
Project details
You will receive a high-quality classification model that is carefully tailored to your specific dataset and aligned with your business objectives. I will take a comprehensive approach, starting with cleaning and preprocessing your data to ensure accuracy and consistency. Then, I will analyze your dataset to select the most suitable algorithm, train the model, and rigorously evaluate its performance using appropriate metrics.
Throughout the process, I will provide well-structured, clean, and thoroughly documented code, making it easy for you to understand, reproduce, and maintain. The final deliverable will include not only the trained model but also detailed performance metrics, insights, and recommendations.
The end result is a reliable, ready-to-use classification model that can seamlessly move into testing, further refinement, or deployment in your production environment.
Throughout the process, I will provide well-structured, clean, and thoroughly documented code, making it easy for you to understand, reproduce, and maintain. The final deliverable will include not only the trained model but also detailed performance metrics, insights, and recommendations.
The end result is a reliable, ready-to-use classification model that can seamlessly move into testing, further refinement, or deployment in your production environment.
Machine Learning Tools
ChatGPT, GitHub Copilot, Google AutoML, Google Data Studio, GPT-3, Kubeflow, MATLAB, Microsoft Power BI, MLflow, NLTK, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, Tableau, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$25
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 2 | 5 |
Number of Graphs/Charts | 2 | 4 | 7 |
Model Validation/Testing | - | - | |
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Kenean
Machine learning Engineer | Backend Developer
Addis Ababa, Ethiopia - 6:19 am local time
I work with Python, Django, Flask, and modern ML frameworks to create solutions that turn data into real, working products. My experience includes building custom ML pipelines, recommendation systems, data-driven applications, and interactive visualizations.
Core strengths:
~ Machine Learning model development
~ Recommendation systems
~ Data preprocessing and analysis
~ Computer vision and NLP fundamentals
~ Backend development (Django, Flask)
~ API integration and deployment
~ Clean, maintainable, documented code
Projects I’ve worked on include:
~ End-to-end ML recommendation systems
~ Web applications powered by Django and Flask
~ Machine learning models for prediction and classification
~ Data visualization dashboards
~ ML pipelines optimized for real-world tasks
I’m focused on delivering reliable results, communicating clearly, and building solutions that make an impact. If you need an ML engineer or backend developer who can take your idea from concept to deployment, I’m ready to help.
Steps for completing your project
After purchasing the project, send requirements so Kenean can start the project.
Delivery time starts when Kenean receives requirements from you.
Kenean works on your project following the steps below.
Revisions may occur after the delivery date.
Additional steps in project
- Advanced feature engineering - Hyperparameter optimization - Cross-validation and detailed metrics report - Model deployment (Flask / FastAPI) - API integration - Technical documentation