Email Spam Detector: logistic regression in action

In this project

New libraries in this project:

1. Pandas
2. Numpy
3. Sklearn
4. Streamlit

And here majesty Logistic Regression itself.

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Learning plan

Default List

1. 1. Email spam classifier using mail datasets

2. Meeting streamlit!

3. Learning Logistic Regression

4. Kaggle datasets and notebooks

5. Training the model

6. Compiling into UI

7. 2. Real Gmail mail scanner

8. Downloading emails....

9. Classifying emails with chatGPT

10. Training the model with REAL data

11. Fine-tuning the model with extra data: hosting the UI