I will build accurate regression and sales forecasting models in python
About this Gig
- Need to predict sales, prices, revenue, or any continuous number? I'll build you a regression model that's actually evaluated - not just fitted.
- What you get:
- - Full data cleaning & preprocessing (missing values, outliers, encoding)
- - Feature engineering to squeeze signal from your data
- - Multiple models compared - Linear, Ridge, Lasso, Random Forest, Gradient Boosting
- - Honest evaluation: MAE, RMSE, R2 with train/test split or cross-validation
- - Clear charts showing what drives your predictions
- - Clean, commented Python code (Jupyter notebook)
- How I work: I compare several models and pick the winner by cross-validation - the same process behind my Ames Housing price model (Gradient Boosting, 5-fold CV). You'll know exactly how accurate the model is and where it can fail. No black boxes.
- Send me your dataset (CSV/Excel) and what you want to predict - I'll reply within a few hours with a plan.
Programming language:
Python
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Colab
Frameworks:
Scikit-learn
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Keras
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PyTorch
APIs:
Other
Tools:
Jupyter Notebook
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TensorFlow
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Excel
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Colab
My Portfolio
FAQ
What type of problems can you solve?
I work on continuous value prediction problems such as sales forecasting, price prediction, revenue modeling, and similar regression tasks.
What do I need to provide?
You need to provide: Your dataset (CSV, Excel, etc.) A clear description of what you want to predict Any specific requirements
Will I receive the source code?
Yes. You will receive clean and well-documented source code.
Do you guarantee high accuracy?
No honest seller can guarantee accuracy - it depends on your data. I guarantee proper training, honest evaluation, and transparent reporting of exactly how well the model performs.

