I will build and evaluate a machine learning model in python
AI Engineer , Data Analyst , 5 batches and 1000 students trained
About this Gig
Have a dataset and a question you want predicted or classified? I'll build a machine learning model that answers it, and explain exactly how it works.
What I deliver:
Data preprocessing & feature engineering
Model building using Scikit-learn (classification, regression, or clustering)
Model evaluation (accuracy, precision/recall, confusion matrix, etc.)
A clean, well-commented Jupyter Notebook
Plain-English explanation of results no jargon overload
Example use cases: churn prediction, price prediction, customer segmentation, sentiment classification, risk scoring, academic ML projects.
I focus on models that are accurate AND explainable, so you understand what's driving the predictions, not just a black-box output.
Send me your dataset and target goal, and I'll confirm feasibility before we begin.
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
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Keras
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PyTorch
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Panda
APIs:
Other
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
What kind of problems can you solve with ML?
Classification (yes/no, category prediction), regression (predicting numbers), and clustering (grouping similar data). Send your goal and I'll confirm the best approach.
How much data do I need for this to work well?
More data generally means better accuracy, but I can work with smaller datasets too — I'll tell you upfront if your data size may limit model performance.
Will you tell me if my project isn't a good fit for ML?
Yes. If your data or goal isn't suited for machine learning, I'll say so before we start rather than delivering a weak model.
Do you explain the results, or just hand over code?
Both. You'll get the model, evaluation metrics, and a plain-English explanation of what the results mean and which factors matter most.
Can this be deployed into an app or dashboard?
Yes — check out my dashboard gig, or message me and we can scope that as an add-on.
Do you sign NDAs?
Yes, happy to sign one before starting if your data is sensitive.

