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Welcome to this project on the Spam Classifier Project with Logistic Regression Classifier using scikit-learn. In this project, you will use Python and scikit-learn to build a Logistic Regression Classifier, and apply it to predict whether an email is Spam or Ham.
The world is full of textual data being generated at a very rapid pace each second. The most important data preprocessing steps include accessing and cleansing the real-time data, transforming it to get a refined form, and making it in an ML-algorithm compatible way by representing the textual data into numerical form. You will learn to achieve all these data preprocessing steps using NLTK - a famous Natural Language Processing API - in conjunction with Python. You will build data transformers and use them in scikit-learn pipelines in order to effectively preprocess the data. Finally, you will build a Logistic Regression Classifier to predict the class of an email.
Skills you will develop:
Machine Learning Engineer @ CloudxLab