I will build a price prediction model using machine learning and python
Data Scientist, ML Engineer, Python, SQL, Power BI, Machine Learning
À propos de ce service
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.
Langage de programmation:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
Outils:
Jupyter Notebook
•
Colab
Mon 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.
