This documents all my practice perfoming AI techniques using python as the main programming language.

Notable actions include :

• Find the number of unique words in the file
• Find the top 10 most frequent tokens in the file.
• Remove empty rows and duplicates
• Remove non-alphanumeric characters
• Remove stop words
• Perform a Part of speech tagging
• Create a word cloud of the cleaned data

• Train the model
• Make predictions
• Evaluate and improve the machine learning model
• Comparing decision tree algorithm to naive bayes

• Importation of data
• Cleaning data
• Splitting the data into train and test data
• Importing the models.
• Displaying the decision tree model