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Fiverr Pro
English
$
USD
I will data cleaning, exploratory data analysis and machine learning
Data Scientist, Python, Machine Learning, Data Analysis, MLops
Data Scientist skilled in Python, Pandas, Machine Learning, Data Visualization, and AI development. Experienced in EDA, data preprocessing, ML models, AI chatbots, RAG systems, and Whisper AI speech-t...
About this Gig
I will help you build, optimize, and deploy machine learning models for your data-driven projects.
My services include:
- Data preprocessing: Clean and prepare your data for modeling.
- Model creation & testing: Build accurate ML models tailored to your problem.
- Performance monitoring & fine-tuning: Ensure your model keeps performing well over time.
- Cloud deployment & API integration: Make your model ready for real-world applications.
- Documentation & source code: Clear, organized, and reusable code with instructions.
Whether you need a simple predictive model or a full end-to-end solution, I deliver professional results that meet your requirements.
Programming language:
Python
•
SQL
•
MLflow
Frameworks:
Scikit-learn
•
Keras
•
Panda
•
Other
APIs:
Other
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
•
Colab
My Portfolio
FAQ
What kind of machine learning models can you build?
: I can create classification, regression, clustering, and recommendation models using Python and popular libraries like Scikit-learn and TensorFlow
What data do I need to provide?
Please provide your dataset in CSV, Excel
Do you provide source code and documentation?
Yes! All packages include well-commented source code and a detailed document explaining how the model works and how to use it.
Can you deploy the model to the cloud or provide an API?
Yes, in the Premium package I provide cloud deployment and API integration, so your model can be used in real applications.
What if I need changes after delivery?
Each package includes a set number of revisions. Additional revisions can be added as a paid gig extra.
Can you handle large datasets or complex problems?
Yes! For very large datasets or advanced deep learning models, I recommend the Standard or Premium package to ensure full optimization and deployment.
