Twitter Sentiment Analysis using the TF-IDF approach:

1- Data visualization and preprocessing
2- Data cleaning
3- Data analysis
4- TF-IDF representation
5- Train a Logistic Regression model
6- Tune model hyperparameters with Bayesian search
7- Model evaluation

The Python Jupyter Notebook to read and visualize the data and the code is available on nbviewer.