Loan Eligibility prediction the use of Machine Learning Models in Python
Similar to loan approval prediction, mortgage eligibility prediction focuses on determining whether an man or woman qualifies for a loan based on their monetary profile. Python can be used to preprocess information, build machine learning fashions, and deploy them for real-time eligibility evaluation. This project employs Support Vector Classifier(SVC) from Scikit-learn for model training, the importance of handling imbalanced datasets and preprocessing steps like label encoding and standard calling to normalize the data. This model performance evaluated using the ROC AUC score and confusion Matrix that provides insights to accuracy in predicting loan eligibility. This will guide to step-by-step guide to implementing their productive models in Python .
Here is the reference link of the project – Loan Eligibility prediction the use of Machine Learning Models in Python
10 Machine Learning Projects in Retail
In the modern-day dynamic retail landscape, maintaining a competitive edge goes beyond offering top-notch products and services. Retail businesses must harness the power of advanced technologies to decode consumer behavior. Machine Learning emerges as a game changer in the context that provides retailers with the ability to glean valuable insights from the vast data pools. In this article, we will explore various Machine Learning Projects in Retail and also highlight ing How this innovative technology is revolutionizing retail strategies and enhancing customer experience.
Table of Content
- What is Machine Learning in Retail?
- 10 Machine Learning Projects in Retail
- 1. Sales Forecast Prediction
- 2. Customer Segmentation the usage of Unsupervised Machine Learning in Python
- 3. Analyzing selling rate of used motors the use of Python
- 4. Box Office Revenue Prediction Using Linear Regression in ML
- 5. Flipkart Reviews Sentiment Analysis the usage of Python
- 6. Loan Approval Prediction the use of Machine Learning
- 7. Loan Eligibility prediction the use of Machine Learning Models in Python
- 8. House Price Prediction the use of Machine Learning in Python
- 9. ML | Boston Housing Kaggle Challenge with Linear Regression
- 10. Supply Chain Optimization
- Conclusion