Identifying Spam Emails
Kyryl Sidak
Python
11 Chapters
0 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
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
0%
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.
