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I will build machine learning models and data classification pipelines
About this Gig
Professional Machine Learning & NLP Solutions in Python
Looking for end-to-end Machine Learning, NLP, or data classification pipelines? I build robust, production-ready AI solutions tailored to your project requirements.
What I Offer:
- Data Preprocessing & EDA: Feature engineering, dataset cleaning, and encoding (Pandas, Scikit-learn).
- NLP & Text Classification: Sentiment analysis, support ticket auto-tagging, zero-shot/few-shot prompting, and transformer pipelines (BART, Hugging Face).
- Machine Learning Models: Supervised & unsupervised learning models, classification, regression, and hyperparameter tuning (PyTorch, Scikit-learn).
- Interactive UI & Deployment: Custom web interfaces (Gradio) for real-time inference and API integration.
Why Choose Me?
- Clean, well-documented, modular Python code.
- High accuracy with rigorous model evaluation metrics (F1 score, Precision/Recall).
- Fast response times and clear project communication.
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
DeepPy
•
Keras
•
PyTorch
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
MLflow
•
Colab
•
Other
My Portfolio
FAQ
Question: What do I need to provide to get started?
Answer: Please provide your dataset (CSV, Excel, JSON, or text files), a clear description of your problem statement, and any specific goals or metrics you want to achieve.
Question: What format will I receive the final deliverables in?
Answer: You will receive well-commented Python source code (Jupyter Notebook .ipynb or .py scripts), model evaluation reports, and an interactive UI (Gradio) depending on your package.
Question: What if I don’t have a cleaned dataset ready?
Answer: No problem! Data cleaning, preprocessing, and feature engineering are included across all packages to make your data model-ready.
