You will get a machine learning model based on real estate data


Project details
I will analyze public real estate data and develop a machine learning model to support market research and pricing analysis. You will receive a cleaned dataset, insights, visuals, and source code.
Machine Learning Tools
Azure Machine Learning, deeplearn.js, GitHub Copilot, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 1 | 2 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 4 | 6 | |
Model Validation/Testing | - | ||
Model Documentation | |||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $40
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$25
Additional Scenario
+$15
Additional Graph/Chart
+$10
Model Validation/Testing
+$20
Data Source Connectivity
(+ 1 Day)
+$30Frequently asked questions
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YI
Yousef I.
Dec 18, 2025
Data visualisation
About Shynggys
I turn complex data into insights and predictions using Python
Astana, Kazakhstan - 5:55 pm local time
I help teams and organizations clean, explore, and model their data using a structured, result-oriented approach — combining technical tools with real-world logic.
⚙️ My skills include:
• Python (pandas, scikit-learn, matplotlib, statsmodels)
• Machine Learning (classification, regression, forecasting, NLP)
• Data Cleaning, Feature Engineering, EDA
• Dashboards in Power BI, Tableau, Excel
• SQL, database design, ETL pipelines
• Web scraping & API integration (BeautifulSoup, Selenium)
• Survey & qualitative research analysis (SPSS, MaxQDA)
• Structuring and writing data-driven research with strong methodology
📊 Typical projects I work on:
✔ Credit risk and churn prediction models
✔ Market behavior analysis & reporting
✔ Education and policy research based on real data
✔ Automating data workflows for small teams
GitHub portfolio → github.com/ShynggysTorez
🤝 I've worked with:
• Startups scaling through smarter analytics
• Academic teams writing advanced research reports
• Government and consulting clients using data for better strategies
My goal is always the same: to turn complex data into clear, explainable results that help people make decisions.
Let's connect if you're looking for someone who brings both data depth and communication clarity to the table.
Steps for completing your project
After purchasing the project, send requirements so Shynggys can start the project.
Delivery time starts when Shynggys receives requirements from you.
Shynggys works on your project following the steps below.
Revisions may occur after the delivery date.
Initial discussion & requirement clarification
We confirm target city, data source, features to analyze.
Data collection and cleaning
I gather data from public listings or use your provided dataset, then clean and prepare it for analysis.