I will build a custom ml model or ds solution using python
Data Analyst l Excel, Python and SQL l Clean Reports in 24 to 36 hours
About this Gig
Are you looking for a custom machine learning solution built specifically for your data?
I will build, train, and evaluate a machine learning model using Python tailored to your exact business problem whether it's classification, regression, clustering, computer vision, or predictive analytics.
What I can build:
- Classification models (predict categories/outcomes)
- Regression models (predict numbers/values)
- Clustering models (customer segmentation)
- Computer Vision models (image recognition/detection)
- Data preprocessing pipelines for ML ready datasets
What you get:
- Clean, well-commented Python code
- Model performance report (accuracy, precision, recall)
- Visualizations (confusion matrix, feature importance, charts)
- Source code + documentation
- Clear explanation of results in simple business language
My experience:
- Built customer segmentation model on 51,000+ row dataset
- Experience with scikit-learn, OpenCV, FastAPI, pandas, numpy
- Can deliver clean, production-ready Python code
Message me before ordering to discuss your dataset and requirements I'll confirm if I can deliver exactly what you need.
Programming language:
Python
•
R
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SQL
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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Excel
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Colab
•
RStudio
My Portfolio
FAQ
What information do I need to provide to get started?
Just share your dataset (CSV, Excel, or any format) and describe your business problem - what you want to predict or analyze. I'll confirm if I can help before you order.
What if I don't have a dataset?
No problem! I can work with publicly available datasets or help you identify the right data source for your problem. Message me and we'll figure it out together.
What programming language and libraries do you use?
I use Python with scikit-learn, pandas, numpy, OpenCV, FastAPI, tensorflow, pytorch and matplotlib. All code is clean, well-commented and delivered with documentation so you can understand and reuse it.

