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English
$
USD
I will build nlp models for sentiment analysis, text classification and topic modeling
Machine Learning, NLP Specialit
Ranked 200 th among 3000+ Expert
competitors in the Trace the Ace NLP competition.
My work focuses on end-to-end Machine Learning and NLP from project architecture, EDA and feature engineering to mo...
About this Gig
Have reviews, feedback, comments, or other text data that you need to understand or classify?
I will build an NLP solution for sentiment analysis, text classification, or topic modeling based on your data and project goal.
Portfolio: View my selected NLP and Machine Learning projects here:
https://kawsar-portfolio-kawsar07ahmmed0712-5454.vercel.app/
What I can help with:
- Sentiment analysis
- Binary and multiclass text classification
- Intent, spam, review, or category classification
- Topic modeling and text clustering
- Text cleaning and preprocessing
What you will receive:
- A trained and evaluated NLP model
- Precision, recall, F1 score, confusion matrix, or other suitable metrics
- Prediction outputs
- Clean Python source code or Jupyter Notebook
- Documentation based on your package
I use Python, scikit-learn, PyTorch, TensorFlow, and Hugging Face Transformers when appropriate.The modeling approach is selected based on your dataset, labels, and objective.
Please message me before ordering for large, multilingual, unlabeled, or custom NLP projects.
Thanks,
Kawsar Ahmmed
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What do you need from me to start the project?
Please provide your dataset, project goal, text column, target labels if available, language, and the output you expect. If you are unsure about the model or approach, that is completely fine.I can recommend a suitable method after reviewing the data.
What types of NLP projects can you help with?
I can work on sentiment analysis, binary or multiclass text classification, intent or category classification, spam detection, topic modeling, text clustering, preprocessing, and related NLP tasks. For unusual or complex requirements, please message me before ordering.
What file formats can I provide?
CSV, Excel, JSON, TXT, and other common text-data formats are suitable. If your data is stored in a different format or comes from multiple files, please contact me first so I can confirm the scope.
Can you work with languages other than English?
Yes, depending on the language, dataset size, available labels, and model support. Please send a small sample before ordering a multilingual or non-English project so I can check feasibility.
Can you guarantee a specific model accuracy?
No responsible machine learning project can guarantee a fixed accuracy before the dataset is evaluated. Performance depends on data quality, class balance, label quality, dataset size, and task complexity. I will use suitable evaluation metrics and work toward the best reliable result for your data.
Will I receive the source code and documentation?
Yes. You will receive clean Python source code or a Jupyter Notebook, along with the relevant outputs and documentation included in your selected package, so you can understand and reuse the solution.
Can you use BERT, Transformers, or fine-tune an NLP model?
Yes, when a transformer-based approach is appropriate for the task and dataset. I can work with tools such as Hugging Face Transformers, PyTorch, and TensorFlow. Advanced fine-tuning may require a higher package or a custom offer depending on the model and data size.
Should I contact you before placing an order?
Yes. Please message me before placing any order so I can review your dataset, understand your objective, and confirm the most suitable package for your project. This also allows us to agree on the scope, delivery time, and expected outputs before the order begins.
