Implement text classifier - 2 classes
Budget: $10 – $150 USD
The attached CSV file is a sample of my data. First value is the sentence, second is class it belongs to.
I need a machine learning solution that will do:
- text pre-processing
- divide data into train and test. Train all sentences belonging to class 1 + randomly selected the same amount of sentences belonging to class 0. Test is supposed to be 10% of train - but not present in train.
- ML model training or fine-tuning
- evaluation on test set - number of properly classified + precision and recall.
All must be done and work Google Colabolatory in Python.
In your bid please describe what architecture will you use.
I need a machine learning solution that will do:
- text pre-processing
- divide data into train and test. Train all sentences belonging to class 1 + randomly selected the same amount of sentences belonging to class 0. Test is supposed to be 10% of train - but not present in train.
- ML model training or fine-tuning
- evaluation on test set - number of properly classified + precision and recall.
All must be done and work Google Colabolatory in Python.
In your bid please describe what architecture will you use.