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Identifying Spam Emails Course - Online Learning with Certificate
python

Identifying Spam Emails

Kyryl Sidak

Python

11 Chapters

1 Studying now

We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.

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Technology

Python

Language

En

Rating

Chapters

11

Studying now

1

Loading the Dataset

Columns Adjustments

Preliminary Analysis

Plotting the Target Distribution

Text Cleaning

Tokenization

Features and Target Variable

Train-Test Split

Vectorization

Modeling

Evaluating the Model

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Loading the Dataset

Columns Adjustments

Preliminary Analysis

Plotting the Target Distribution

Text Cleaning

Tokenization

Features and Target Variable

Train-Test Split

Vectorization

Modeling

Evaluating the Model

Course description

We are going to classify emails as spam or non-spam by analyzing the content of the emails. We will preprocess the text data using techniques like tokenization and vectorization, then apply machine learning to build and evaluate a classification model, namely Logistic Regression. By the end of the project, we aim to develop a reliable tool for identifying spam emails.

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