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modeldeployment

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The Food Delivery Time Prediction Model estimates delivery times using regression algorithms, with XGBoost as the best performer, and is deployed as a real-time application via Streamlit.

  • Updated Sep 13, 2024
  • Jupyter Notebook

The Email Spam Detector project uses Python to identify spam emails. It leverages a Kaggle dataset for training, employs TfidfVectorizer for preprocessing, and selects a Naive Bayes model for its performance. The Flask-based web app features an HTML/CSS frontend for user input and spam classification.

  • Updated Aug 24, 2024
  • Jupyter Notebook

This repository serves as a showcase for my data science project, demonstrating a project on prediction of high pressure compressor issentropic efficiency using machine learning algorithm

  • Updated Apr 15, 2024
  • Jupyter Notebook

Fraud Detection for E-commerce: Employing Python, ML, NLP, and Power BI, create an end-to-end analytics system. Analyze transactions to prevent fraud, utilizing cloud computing for scalability. Deploy a robust solution for e-commerce security.

  • Updated Mar 13, 2024
  • Python

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