In this tutorial we will see how to use machine learning to classify GitHub Issues. This is a text classification project using ML. You can check the complementary streamlit app in the next video.
⚡ Project Topic⚡ :Data Science Project - GitHub Issue Classification
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🎓=== Check out these Awesome Data Science Courses!===🎓
🧑🏻🔧 Building ML Web Apps:https://www.udemy.com/course/building...
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⏲️===TimeStamps===⏲️
0:01 Intro, Github Issue Labels
01:20 Workflow
03:00 Streamlit App Demo
04:30 Data Collection
08:30 Data Preparation
11:30 Restructuring Dataset
18:00 Class Distribution
20:00 Text Cleaning with NeatText
23:00 Building ML Pipelines
29:00 Base Model
30:30 Actual Model
32:00 Evaluating ML Model
35:30 Saving Model
37:40 Making Predictions
41:30 Recap & Outro
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⚡ If you need any help just message me in the comments, you never know it might help someone else too. ⚡
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