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I will build ml loan approval predictor in python
Unzila
About this gig
Are you looking for a smart loan
eligibility prediction system?
You are in the right place!
I will build a fully working Machine
Learning web app using Python and
Streamlit that predicts whether a person
is eligible for a loan or not.
What Makes Me Different:
I have a LIVE working loan prediction
app. This proves I can deliver exactly
what I promise!
What You Will Get:
- Complete ML model in Python
- Streamlit web app ready to use
- Loan eligibility prediction system
- Data cleaning and preprocessing
- Logistic Regression or Decision Tree
- Accuracy score and results
- Clean and well commented code
- CSV or PDF report
Why Choose Me:
- LIVE working demo app
- Fast delivery in 2 to 3 days
- Clean Python code
- Unlimited revisions
- Clear communication
Perfect for fintech startups, banking
projects, data science students and
research purposes.
Message me before ordering!
Get to know Unzila
Unzila
Building Apps, Websites and Smart Data Insights
- FromPakistan
- Member sinceMar 2026
- Avg. response time5 hours
Languages
English
Hi, I'm Unzila Khanzada, a Machine Learning specialist and Data Scientist. I help clients build smart ML models, analyze data, and develop Flutter apps.
Machine Learning & AI: Python, Scikit-learn, TensorFlow — prediction, classification, and recommendation models.
Data Science: Data cleaning, analysis, and visualization using Pandas, Matplotlib, and Seaborn.
Flutter: Clean, beautiful mobile apps and UI design.
Excel: Data cleaning, formulas, and reporting.
Quality work, on-time delivery. Message me anytime!
My Portfolio
FAQ
What information do I need to provide?
Just share your dataset or tell me the input features like age, income, loan amount, credit history and employment status. I will handle the rest!
Which ML algorithm will you use?
I use Logistic Regression or Decision Tree based on your data. I will choose the best algorithm for highest accuracy. ❓ FAQ 3 Question: Will I get the source code? Answer: Yes! You will get complete clean and well commented Python source code that you can use and modify freely. ❓ FAQ 4 Questio
