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Project - Text Classification using unlabelled data and weak supervision using domain knowledge The objective is to build a supervised model with weakly labeled data. The model will consider domain information to improve the classification performance. In progress
Project - Machine Learning in Data Quality Space – Anomaly Detection Project Description: In the current data age, quality of the data becomes center place for any enterprise data strategy. The issue of poor data quality is hindering organizations from performing to their full potential. Gartner’s data quality market survey estimated that the financial impact caused by data quality issues is in millions. Traditionally organizations have used a combination of manual and automatic methods to tackle this issue in siloed approaches. In progress

Project - Text Classification using unlabelled data and weak supervision using domain knowledge

The objective is to build a supervised model with weakly labeled data. The model will consider domain information to improve the classification performance.
In progress

Project - Machine Learning in Data Quality Space – Anomaly Detection

Project Description: In the current data age, quality of the data becomes center place for any enterprise data strategy. The issue of poor data quality is hindering organizations from performing to their full potential. Gartner’s data quality market survey estimated that the financial impact caused by data quality issues is in millions. Traditionally organizations have used a combination of manual and automatic methods to tackle this issue in siloed approaches.
In progress