Python SMS Spam Detector
Budget: ₹1,500 – ₹12,500 INR
I’m building a full, Python-based SMS spam detection module and need a freelancer who can deliver fast. The core of the solution must rely on supervised learning—think Naive Bayes, Logistic Regression, SVM, or any other well-reasoned algorithm you can justify—so that the model can be trained, evaluated, and fine-tuned on a labelled dataset.
Here’s what I expect:
• Clean, well-commented Python code (preferably in a single Jupyter notebook or a small, logically structured repo)
• A documented preprocessing pipeline for text messages (tokenisation, stop-word removal, vectorisation with TF-IDF or similar)
• Training, validation, and test results showing key metrics such as accuracy, precision, recall, and F1-score
• Short read-me explaining how to reproduce the results and retrain the model on new data
Because I need this ASAP, clarity and speed are critical. When you reply, focus on your experience with supervised NLP or text-classification projects—actual examples will help me choose quickly.
Here’s what I expect:
• Clean, well-commented Python code (preferably in a single Jupyter notebook or a small, logically structured repo)
• A documented preprocessing pipeline for text messages (tokenisation, stop-word removal, vectorisation with TF-IDF or similar)
• Training, validation, and test results showing key metrics such as accuracy, precision, recall, and F1-score
• Short read-me explaining how to reproduce the results and retrain the model on new data
Because I need this ASAP, clarity and speed are critical. When you reply, focus on your experience with supervised NLP or text-classification projects—actual examples will help me choose quickly.