GitHub - shubs202k/Natural-Language-Processing-with-Python: Data Cleaning methods such as Stemming,Lemmatizing and Vectorization . Machine Learning classification models such as Random Forest and Gradient Boosting to predict whether a email message is spam or not and then using GridSearchCV to evaluate these models.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.ipynb_checkpoints		.ipynb_checkpoints
Ex_Files_NLP_Python_ML_EssT/Exercise Files		Ex_Files_NLP_Python_ML_EssT/Exercise Files
My_Practice		My_Practice
SMSSpamCollection.tsv		SMSSpamCollection.tsv
SMSSpamCollection_cleaned.tsv		SMSSpamCollection_cleaned.tsv

About

Data Cleaning methods such as Stemming,Lemmatizing and Vectorization . Machine Learning classification models such as Random Forest and Gradient Boosting to predict whether a email message is spam or not and then using GridSearchCV to evaluate these models.