Web system for loans classification
AWS-based API and web interface for performance demonstration of various machine learning algorithms.
We have developed an API and user interface for the R-based backend to demonstrate a classification system for defaulted/non-defaulted loans, the system is based on the following points:
- data loading and data encoding for categorical data types,
- data normalization and pre-processing,
- data sampling,
- data classification and cross-validation for robust performance estimation.
Following the data set creation/selection and model setting up, users can access detailed graphic information about the classification performance using such metrics as MSE, Kolmogorov-Smirnov statistics, and ROC curves.
Datasets, models, and evaluation results are available for CSV export.
- Data processing
- Dataset creation
- Data visualization
- CSV export
Model for restoring blurred and pixelated faces in a photo.
API driven statistics dashboard
We've developed a web-based dashboard showing statistics data. The dashboard is being frequently updated to provide the most actual data on the stores' inventory condition.
Influencers search API
The API we've developed can help a company to find a best matching influencer. Want to promote your new music album in Instagram stories? Just send this to the API and get a list of accounts which will increase your revenue.