I will build a price prediction model using machine learning and python
Data Scientist, ML Engineer, Python, SQL, Power BI, Machine Learning
About this Gig
Need to predict prices accurately whether for real estate, products, rentals, or sales? I build custom machine learning models that give you reliable predictions based on your actual data.
I built ORCHIIMMO, an AI-powered real estate platform that scraped 8,000+ property listings and trained a Random Forest model achieving R² = 87.7%. That means 87.7% of price variations explained by the model real predictive power, not just statistics.
What I deliver:
Full data preprocessing and feature engineering
Model selection and comparison (Random Forest, LightGBM, Linear Regression)
Model evaluation: R², MAE, RMSE with clear interpretation
Clean, documented Python code you can run immediately
Visualizations: feature importance, actual vs predicted charts
For Premium: API-ready model + Power BI dashboard
I work with any structured dataset: real estate, e-commerce, retail, rentals, HR salaries, financial data.
All deliverables include source code + documentation.
Let's talk before you order.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Colab
My Portfolio
FAQ
What type of data do you need from me?
A CSV or Excel file with historical data (prices + features). The more rows, the better. If you're unsure what format to use, message me first and I'll guide you.
Can you work with real estate or e-commerce pricing data?
Yes, those are my strongest areas. I built ORCHIIMMO, a real estate price prediction platform with R2 = 87.7% on 8,000+ listings. I also work with e-commerce, retail, and any domain with structured pricing data.
What will the model output — a number or a full report?
Both. You get predicted prices plus a full report: model accuracy (R2, MAE, RMSE), feature importance chart, and actual vs predicted visualization. Premium includes a Power BI dashboard.
