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I will build ai loan prediction model
Data Scientist and Analyst Python Machine Learning EXCEL SQL Dashboards
Hello! I am Narendra with 2 years of experience in Data Analytics and Data Science, with expertise in data analysis, data visualization, machine learning, and transforming complex datasets into action...
About this Gig
Welcome! If you're looking for a professional AI Loan Prediction Model built using Machine Learning, you're in the right place.
I will develop a custom loan prediction model that predicts whether a loan application is likely to be approved or rejected based on applicant data. The project includes data preprocessing, exploratory data analysis (EDA), feature engineering, model training, testing, and performance evaluation using industry-standard machine learning techniques.
What You'll Get
- Data Cleaning & Preprocessing
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Machine Learning Model Development
- Model Training & Testing
- Performance Evaluation (Accuracy, Precision, Recall, F1-Score)
- Well-Documented Python Code
- Jupyter Notebook (.ipynb)
- Source Code & Documentation
Technologies Used
- Python
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- Jupyter Notebook
Whether you're a student, researcher, startup, or business, I will deliver a clean, well-documented, and high-quality AI solution tailored to your requirements. Customer satisfaction, timely delivery, and quality work are my top priorities.
Let's build an accurate and reliable AI Loan Prediction Model together!
Programming language:
Python
•
SQL
•
Java
•
NoSQL
Frameworks:
Scikit-learn
•
Google ML Kit
•
SimpleCV
•
PyTorch
•
Panda
Other Data Science & ML Services I Offer
FAQ
Q: What do I need to provide before starting the project?
A: Please provide your dataset (CSV, Excel, or SQL), project requirements, preferred machine learning algorithm (if any), and any specific output or documentation you need.
Q: Which machine learning algorithms do you use?
A: I primarily use Logistic Regression, Decision Tree, Random Forest, XGBoost, and other suitable algorithms based on your dataset and project requirements.
Q: Will I receive the complete source code?
A: Yes. You will receive the complete Python source code, Jupyter Notebook (.ipynb), trained model, and documentation (depending on the selected package).
Q: Can you work with my custom dataset?
A: Yes. I can build a loan prediction model using your custom dataset or a publicly available dataset if needed.
Q: Do you provide model evaluation and visualization?
A: Yes. I include performance metrics such as Accuracy, Precision, Recall, F1-Score, Confusion Matrix, and data visualizations based on your selected package.
Q: Can you explain the code after completing the project?
A: Yes. I provide a clear explanation of the code and workflow so you can understand how the model works.
Q: Can you improve or fix an existing machine learning project?
A: Yes. I can debug, optimize, improve accuracy, add features, and enhance your existing AI or machine learning project.
Q: Will the model be accurate?
A: Model performance depends on the quality and size of the dataset. I will select an appropriate algorithm, optimize the model, and provide evaluation metrics to achieve the best possible results.
Q: Do you provide support after delivery?
A: Yes. I provide post-delivery support for revisions and help you understand the project according to the package you choose.
