I will develop, train, and evaluate machine learning models for your project.

Habiba

Habiba

ML models, fine-tuning & MLOps

Founding Seller ✓ Service reviewed by our team New on RemoteAI ⏱ Delivery from 4 days
I will develop, train, and evaluate machine learning models for your project. I will develop, train, and evaluate machine learning models for your project.

About this service

Do you need a machine learning model developed, trained, or evaluated for your project? I help turn raw data into machine learning solutions through data preprocessing, model development, training, validation, and performance evaluation. My workflow: 1. Understand your problem and dataset (up to 10,000 rows). 2. Analyze and preprocess the data. 3. Select a suitable model and training approach. 4. Train and evaluate the model. 5. Analyze results and provide recommendations. What you'll receive: - Cleaned and prepared dataset (if included). - Trained model and source code. - Evaluation metrics and results. - Performance report. - Instructions for running the model. Expected result: A reproducible machine learning workflow with measurable evaluation results and a clear understanding of model performance.
Python TensorFlow Model Evaluation Streamlit MLflow

Built for: Real estate · E-commerce · Marketing agencies

What Habiba needs from you to start

1. What problem are you trying to solve? (Classification, prediction, NLP, deep learning, etc.) 2. Please upload your dataset or provide access to it. 3. What is the expected output or target variable? 4. Do you have a preferred model, framework, or architecture? (PyTorch, Scikit-learn, Transformers, etc.) 5. Are there specific performance metrics or evaluation requirements? 6. For fine-tuning projects, please specify the base model and provide your training dataset, if available. Please include any existing code, research papers, or technical documentation relevant to your project.

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Package $25 Essential $100 Standard $200 Premium
Included
  • ✓ML model development, preprocessing, and evaluation on a small dataset up to 5,000 rows.
  • ✓Complete ML pipeline with training, validation, testing, and performance report.
  • ✓Advanced model development, hyperparameter tuning, evaluation, and documentation
Delivery 4 days10 days14 days
Revisions 122

FAQ

Which machine learning frameworks do you use? +

I primarily work with Python , TensorFlow, MLflow, Streamlit, and PyTorch, and can use other suitable ML libraries depending on your project.

About the seller

Habiba

Habiba ✓ Reviewed talent

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Member since
Nov 2026
Services
4

AI Engineer specializing in LLM applications, RAG systems, AI agents, and Machine Learning. Experienced in Python, PyTorch, Transformers, and AI development workflows, with additional skills in data preprocessing, dataset preparation, AI model evaluation, and data annotation.

PythonTensorFlowModel EvaluationStreamlitMLflowpythontensorflowscikit-learn

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