Pre - Model Implementation

[Richik-main]

Try a simple ML model with the simple 20 features. Things to be done:

1. Change the texts to embeddings use TF-IDF weighted vector for now (will be enhanced)
2. Attach the simple 20 features along with the embeddings make a data frame.
3. Make a test-train-val split.
4. Train a simple ML model.
5. Predict and report results.