This README provides an overview of the data mining methodologies assignment, including the datasets used, associated Medium articles, Colab files, research papers, and ChatGPT conversations for each methodology. The assignment explores three data mining methodologies: CRISP-DM, KDD, and SEMMA.
Table of Contents
| Resource | Link |
|---|---|
| Dataset Used | Thread App Reviews |
| Medium Article | Exploring User Reviews with the CRISP-DM Methodology |
| Colab Files | CRISP-DM Colab Files |
| Research Paper | CRISP-DM Methodology Research Paper |
| Research Paper (Latex Source) | CRISP-DM Methodology Research Paper (Latex Source Code) |
| ChatGPT Conversation | ChatGPT Conversation on CRISP-DM |
| Resource | Link |
|---|---|
| Dataset Used | Amazon Books |
| Medium Article | Exploratory Data Analysis (EDA) on Amazon's Popular Books: A Dive into the KDD Methodology |
| Colab Files | KDD Colab Files |
| Research Paper | KDD Methodology Research Paper |
| Research Paper (Latex Source) | KDD Methodology Research Paper (Latex Source Code) |
| ChatGPT Conversation | ChatGPT Conversation on KDD |
| Resource | Link |
|---|---|
| Dataset Used | Netflix Shows |
| Medium Article | Exploratory Data Analysis of Netflix Listings: A Journey through SEMMA |
| Colab Files | SEMMA Colab Files |
| Research Paper | SEMMA Methodology Research Paper |
| Research Paper (Latex Source) | SEMMA Methodology Research Paper (Latex Source Code) |
| ChatGPT Conversation | ChatGPT Conversation on SEMMA |
Please explore the provided resources to gain insights into each of the data mining methodologies and their applications to the respective datasets. If you have any questions or need further assistance, feel free to reach out.