I will build custom machine learning nlp text classification sentiment model python

Need a custom ML or NLP solution not a generic ChatGPT wrapper?

I build Python-based machine learning and natural language processing models

tailored to your data: text classification, fake news / spam detection,

sentiment analysis, intent detection, topic labeling, and predictive models

on structured datasets.

Tech stack: Python, Pandas, scikit-learn, TensorFlow/PyTorch, transformers

(BERT, RoBERTa, and similar), NLTK, proper train/validation/test splits,

and clear evaluation metrics (accuracy, precision, recall, F1).

What you get:

Clean, documented Python code (notebook and/or .py modules)

Trained model file (where applicable)

Metrics report and short explanation of results

Basic guidance on how to run inference on new data

Ideal for: startups, researchers, students, and businesses with labeled

(or partially labeled) text or tabular data.

Message me BEFORE ordering with:

1) Your goal (e.g., sentiment vs. multi-class classification)

2) Sample data format (CSV, JSON, text files)

3) Deadline and accuracy expectations

Note: I do not train on illegal, harmful, or copyrighted data without

permission. Client must own or have rights to the data provided