IIMA Institutional Repository
This Institutional Repository has been created to collect, preserve and distribute the scholarly output of Indian Institute of Management, Ahmedabad. This will work as an important tool to facilitate scholarly communication and preserve the institution knowledge. The Vikram Sarabhai Library is proud to be hosting the repository for the dissemination and preservation of this valuable knowledge resource of the IIMA community.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11718/24090Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Deodhar, Swanand | - |
| dc.contributor.author | Gupta, Shalini | - |
| dc.contributor.author | Dias, Michelle | - |
| dc.date.accessioned | 2021-07-01T03:58:46Z | - |
| dc.date.available | 2021-07-01T03:58:46Z | - |
| dc.date.issued | 2019 | - |
| dc.identifier.uri | http://hdl.handle.net/11718/24090 | - |
| dc.description.abstract | To have a glimpse into Data Science, and to gain some exposure to its practical aspects. Regarding the Kaggle data set(s) used in this project, we aim to predict participation and performance in competitions as well as by specific users. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Indian Institute of Management Ahmedabad | en_US |
| dc.subject | Data analysis | en_US |
| dc.subject | Kaggle | en_US |
| dc.subject | Data cleaning | en_US |
| dc.subject | Data visualization | en_US |
| dc.title | Analysing data on Kaggle | en_US |
| dc.type | Student Project | en_US |
| Appears in Collections: | Student Projects | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| SP_2588.pdf Restricted Access | 827.3 kB | Adobe PDF | View/Open Request a copy |
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