Dress Recommendation Analysis
This project gives detail view of analytics run on dress related data. I have used R script to generate informative graphs and Weka analytics tools to generate a concise prediction of recommendation system. This analytic can be helpful to the people in the dress industry to decide the latest trends and suggestion based on dress and decoration styles.
My responsibilities were:
- Collect and collaborate dress related data, considering sale, production and style info.
- Preprocessed the data to remove redundancy, null values and multiple features.
- Create info graph to collect basic trends and flow in data without applying any algorithms.
- Run data classification analytics on preprocessed data using WEKA tool.
- Create a report to list the methods and trends helpful to analyse the new data.
“Many noteworthy projects were successfully executed by Hima. What impressed us was her innate understanding of the latest developments in the field and exploration of the future course of research on diverse topics. She grasped the latest issues, through innovative solutions and then gave optimum results. The skill and knowledge with which she handled her presentations were truly impressive.”
“She is resilient and persevering with regards to her academics and left no opportunity to garner knowledge or develop requisite skills in order to succeed in her chosen field.”
“Her presentations were always backed by her logical reasoning and critical thinking, which I admire the most.”
