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