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.
コースの説明
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.
技術
Python
言語
En
評価
章
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
