I will build machine learning and deep learning models using python
AI Engineer , Python , Machine Learning , Automation
Über diesen Service
I will build a machine learning or deep learning model using Python based on your dataset and project requirements. I can help with data preprocessing, exploratory data analysis, feature engineering, model selection, training, testing, evaluation, and optimization.
My experience includes classification, regression, computer vision, image processing, object detection, CNN-based deep learning, and other ML/DL solutions. I work with tools such as Python, Scikit-learn, Pandas, NumPy, OpenCV, TensorFlow, PyTorch, and related libraries depending on your project.
You will receive clean and organized source code, model files when applicable, evaluation results, and documentation according to your selected package. I can also help integrate a trained model into an API when included in the package.
Before placing an order, please send your dataset, project requirements, target/output, and any reference or specific model requirements. I will review your project and confirm the suitable package before starting.
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FAQ
What type of machine learning projects do you work on?
I work on classification, regression, computer vision, image processing, object detection, and deep learning projects using Python and relevant ML/DL frameworks.
Can you work with my own dataset?
Yes. You can provide your dataset, project requirements, target variable, and expected output. I will review the data and build the solution according to your requirements.
Do you provide the source code?
Yes. Source code is included according to the selected package. I provide clean and organized Python code along with the relevant files.
Can you build deep learning models?
Yes. I can work on deep learning tasks including CNN-based image classification, computer vision, object detection, and other suitable deep learning projects.
Can you optimize or improve an existing model?
Yes. I can analyze an existing model, evaluate its performance, identify possible issues, and apply suitable optimization or fine-tuning techniques when included in the selected package.
What do you need before starting the project?
Please provide your dataset, project requirements, target/output, preferred approach if any, and relevant references. For an existing project, please also provide the current code and requirements.

