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Fiverr Pro
English
$
USD
I will train and optimize machine learning regression and classification models
About this Gig
I provide professional machine learning solutions for regression and classification problems using Python and Scikit-learn. I will preprocess your data, build, test, optimize, and fine-tune high-performing models. You'll receive clean, well-documented source code, model evaluation, and clear documentation to help you understand and use the solution. Whether it's for academic work, business applications, or personal projects, I focus on delivering accurate, efficient, and reliable machine learning solutions.
Services I Provide:
- Sentiment Analysis (Positive, Neutral, Negative)
- Text Classification using machine learning models
- Data Cleaning and Preprocessing for accuracy
- Visualizations (charts, graphs, sentiment distribution)
- Predictions delivered in CSV/Excel
Perfect For:
- Social media posts
- Customer reviews
- Surveys and feedback
- Researchers and businesses needing quick insights
What You'll Get:
- Accurate sentiment breakdown
- Clear charts and visual reports
- Reusable Python scripts or Jupyter Notebook
- Predictions in CSV/Excel format
Why Choose Me:
- Fast delivery ( for small datasets)
- Accurate, automated, and documented solutions
- Clear communication and unlimited revisions
- 100% satis
Programming language:
Python
•
MATLAB
•
SQL
•
Colab
•
MLflow
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
APIs:
Amazon Rekognition
Tools:
Jupyter Notebook
•
TensorFlow
•
MLflow
•
Stata
•
Colab
My Portfolio
FAQ
Which frameworks do you use?
TensorFlow, PyTorch, Scikit-learn—and any you prefer.
Can you deploy my model as an API?
Yes—FastAPI endpoints packaged in Docker/Kubernetes.
What types of machine learning models do you build?
I build custom ML and DL models including classification, regression, recommendation systems, decision trees, ensemble models, clustering, time series forecasting, and deep learning architectures.
Can you work with my existing dataset or model?
Yes. I can use your existing data or improve, fine-tune, or optimize an existing model if you already have one.
Is this suitable for beginners or non-technical clients?
Absolutely. I explain everything clearly and focus on results and usability rather than technical jargon.
