Identifying Spam Emails
Kyryl Sidak
Технологія
Python
Мова
En
Відгуки
Розділи
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
Опис курсу
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.