I will build ml and deep learning models in python
Applied Machine Learning and Computer Vision Engineer
About this Gig
You will get a fully working machine learning model built, trained, and
evaluated in Python clean, well-documented, and ready to use.
What you get :
- Trained ML or deep learning model tailored to your task
- Clean, commented Python code or Jupyter Notebook
- Model evaluation with accuracy, F1, AUC-ROC, and confusion matrix
- Visual performance charts and clear result summaries
- Plain-English explanation of findings and next steps
I can help with :
- Classification, regression, and clustering
- Image classification and object detection (CNN, YOLO)
- Computer vision pipelines using OpenCV
- Small, messy, or imbalanced datasets
- Reviewing and improving your existing model
Programming language:
Python
•
MATLAB
•
Colab
•
Java
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
FAQ
Do I need to provide a dataset?
Yes, for most projects. If you do not have one, I can guide you on dataset requirements.
Will I get the source code?
Yes, source code or notebook is included depending on the package.
Can you improve my existing model?
Yes. I can review your code, preprocessing, metrics, and training process to suggest or apply improvements.
Can you guarantee high accuracy?
No. Accuracy depends on dataset quality, labels, task difficulty, and available data. I will provide honest evaluation and improvement suggestions.
