I will build a machine learning prediction model
About this Gig
Have a dataset but not sure how to turn it into useful predictions?
I can help you build a machine learning prediction model using Python for tasks like customer churn prediction, sales prediction, price prediction, lead scoring, purchase intent prediction, or business forecasting.
What I can help with:
- Data cleaning and preprocessing
- Exploratory data analysis
- Feature engineering
- Classification and regression models
- Model testing and optimization
- Scikit-learn, XGBoost, pandas, and NumPy
- Jupyter Notebook or Python script
- Clear explanation of results and metrics
- Basic model documentation
My goal is to build a model that is not only working, but also easy to understand. You will get clean code, proper evaluation metrics, and a simple explanation of what the model predicts and how well it performs.
Before placing an order, you can send me a quick message on Fiverr with your dataset details so I can confirm the best approach. For safety, please share files only through Fiverrs order page or message system.
Programming language:
Python
Tools:
Jupyter Notebook
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TensorFlow
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Excel
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Colab
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Other
My Portfolio
FAQ
Can you help with both classification and regression problems?
Yes, I can work on classification tasks like churn prediction and regression tasks like sales or price prediction.
Will you clean the data before training the model?
Yes, data cleaning and preprocessing are included depending on the selected package.
Which tools and libraries do you use?
I mainly use Python, pandas, NumPy, scikit-learn, XGBoost, Jupyter Notebook, and other suitable ML tools.
Should I contact you before placing an order?
Yes, you can message me on Fiverr before ordering so I can check whether your dataset is suitable for machine learning. Please do not share external links or contact details. All files and communication should stay on Fiverr

