Azure Machine Learning Studio
- Azure ML
- Regression Modelling
- Exploratory analysis
Analysis of the loan returns probability using Azure ML
In this project, Azure machine learning platform was used to analyze the probabilities of the client to return a loan based on his personal information and specific parameters of the loan.
First, the dataset with information on the credit status was statistically and visually analyzed in order to select an optimal evaluation strategy. The following procedures were performed:
- a number of steps for data cleaning was evaluated,
- detection of the erroneous fields and typos along with recovery of the missing parameters based on the available distribution.
On the next stage, after appropriate parameters representation and application of the outlier detection techniques based on one-class SVM model non-linear classification model were trained.
Finally, machine learning experiment was converted into a web service, and prediction accuracy was estimated on different datasets with similar distribution parameters.
Model for restoring blurred and pixelated faces in a photo.
Workout helper app
Mobile app for the estimation of proper body positions during the workout.
Car rental price simulation and prediction
The goal of the project is to train models for car rental price prediction in Japan based on the prices and demand for car rental from some Japanese car rental companies and the history of weather data in Japan.