Identifying Spam Emails
Kyryl Sidak
Python
11 Chapters
1 Studying now
Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.
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
Classify emails as spam or non-spam by analyzing the content of the emails. Preprocess the text data using techniques like tokenization and vectorization, and apply machine learning to build and evaluate a classification model. Develop a reliable tool for identifying spam emails.
