Prediction model that can identify texts which are spam with ~95% accuracy.

python >=2.7
in my case python version was python ==3.7.3 Install libraries :

pip install sklearn 
pip install autocorrect
pip install numpy 
pip install pandas
pip install scipy
pip install seaborn
pip install matplotlib
pip install WordCloud
pip install nltk
pip install scikit-learn

the dateset contains one set of SMS messages in English of 5,574 messages, tagged acording being ham (legitimate) or spam.

The approach is very similar to our previous tweet sentiment analysis project, check it for more information about the project.