44 lines
1.4 KiB
Plaintext
44 lines
1.4 KiB
Plaintext
# ITP4514 Mini Project
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> This repository selected 'Local News Classification for Four Types of News' as topics
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Form a group of maximum 3 members. Each group should one og the following topics and implement a Solution with Python code with the relevant dataset(s). your major tasks are listed under Mark Distribution. Your deliverable will consist of the dataset(s), Python code, and a report (700-800 words) which will record the details of the process of your works.
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### Prescribed Topics
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1. Local News Classification for Four Types of News
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2. Customer Segmentation of Online Grocery
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3. Chatbot for Online bookstore
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4. Recommender System for Online Games
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5. Image Recognition with CNN for Six Types of Fruit
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6. Sales Prediction with RNN
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7. Optional Path for Taking MTR Trains
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8. Course Timetabling with CSP
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### Mark Distribution
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1. Problem Analysis 10%
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2. Data Preparation & Analysis 20%
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3. Solution Design 10%
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4. Solution Implementation 40%
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5. Reflection & Reporting 20%
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### Model Design
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### Data reference
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```
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@article{misra2022news,
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title={News Category Dataset},
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author={Misra, Rishabh},
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journal={arXiv preprint arXiv:2209.11429},
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year={2022}
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}
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@book{misra2021sculpting,
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author = {Misra, Rishabh and Grover, Jigyasa},
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year = {2021},
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month = {01},
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pages = {},
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title = {Sculpting Data for ML: The first act of Machine Learning},
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isbn = {9798585463570}
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}
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```
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./data/News_Dataset.csv is removed 11 categories from origin dataset |