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

5.0

Let a pro handle the details

Buy Machine Learning services from Shynggys, priced and ready to go.
5.0

Let a pro handle the details

Buy Machine Learning services from Shynggys, priced and ready to go.

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, XGBoost
What's included
Service Tiers Starter
$50
Standard
$120
Advanced
$200
Delivery Time 3 days 5 days 8 days
Number of Revisions
123
Number of Model Variations
012
Number of Scenarios
123
Number of Graphs/Charts
46
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)
+$30

Frequently asked questions

5.0
1 review
100% Complete
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YI

Yousef I.
5.00
Dec 18, 2025
Data visualisation
Shynggys T.Status: Offline

About Shynggys

Shynggys T.Status: Offline
I turn complex data into insights and predictions using Python
5.0  (1 review)
Astana, Kazakhstan - 5:55 pm local time
Hi there! I'm Shynggys — a data scientist, analyst, and research consultant with 8+ years of experience turning raw data into business-ready insights.

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.

Review the work, release payment, and leave feedback to Shynggys.