Browse categories
Explore
Fiverr Pro
English
$
USD
I will build machine learning and predictive models for your data
The Freelance Bubble
As AI/ML Lead at thefreelancebubble.com, I provide professional AI, machine learning, data science, and healthcare analytics solutions for researchers, clinicians, startups, and businesses. My experti...
About this Gig
I will build accurate, interpretable, and professionally documented machine learning and predictive models tailored to your data and project goals.
I can work with research, healthcare, business, scientific, and structured datasets to transform raw data into meaningful predictions and actionable insights.
My services include:
- Data cleaning and preprocessing
- Exploratory data analysis
- Feature engineering and selection
- Classification and regression modeling
- Clustering and anomaly detection
- Decision treebased models
- Cross-validation and hyperparameter tuning
- Model testing, comparison, and optimization
- ROC/AUC, confusion matrix, precision, recall, F1, RMSE, R², and related metrics
- SHAP and feature importance analysis
- Professional figures and visualizations
- Python/R source code and notebooks
- Model documentation and technical reporting
I work with Python, R, Scikit-learn, TensorFlow, PyTorch, XGBoost, Jupyter, Colab, and RStudio.
Please contact me before ordering for deep learning, very large datasets, cloud deployment, API integration, or custom workflows.
Programming language:
Python
•
R
•
MATLAB
•
SQL
•
Colab
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
•
Other
APIs:
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
•
Stata
•
Colab
•
RStudio
Other Data Science & ML Services I Offer
FAQ
What types of machine learning projects can you handle?
I can work on classification, regression, clustering, anomaly detection, predictive analysis, feature engineering, decision-tree models, and model evaluation for research, healthcare, business, and scientific datasets.
What do I need to provide before you start?
Please provide your dataset, project objective, target variable if applicable, preferred output, and any specific requirements or questions you want the model to address.
Which programming languages and tools do you use?
I primarily use Python and R with Scikit-learn, TensorFlow, PyTorch, XGBoost, Jupyter Notebook, Colab, RStudio, SQL, and related data-science tools.
Will you provide the source code?
Yes. Source code or notebooks are included according to the selected package and will be organized for reproducibility and review.
Can you compare multiple machine learning models?
Yes. Standard and Premium packages can include multiple models, cross-validation, model comparison, optimization, and selection based on appropriate performance metrics.
Do you provide explainable AI or SHAP analysis?
Yes. Explainable AI, SHAP values, feature importance, and interpretation can be included, particularly in the Premium package or through a custom offer.
Can you work with healthcare or research data?
Yes. I can analyze biomedical, healthcare, research, and scientific datasets. Please ensure that any sensitive data is properly anonymized before sharing.
Do you offer model deployment or API integration?
Yes, cloud deployment and API integration can be added as extras or handled through a custom offer depending on project complexity.
Can you guarantee a specific model accuracy?
No. Model performance depends on data quality, sample size, class balance, feature relevance, and the underlying prediction problem. I focus on rigorous validation and transparent reporting rather than unrealistic guarantees.
Should I contact you before ordering?
Yes, especially for large datasets, deep learning, healthcare projects, deployment, API integration, or custom machine learning requirements.
