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Welcome to the Fraud Detection Project! This repository uses machine learning 🧠 to detect fraudulent transactions 💳. It includes data preprocessing 🛠️, model training 📚, evaluation 📊, and visualization 📈. Explore, experiment, and contribute 🤝 to improve fraud detection accuracy. Check the README for setup and usage instructions.

  • Updated Jul 15, 2024
  • Jupyter Notebook

This study investigates the quality of exercise using the machine learning algorithms and classifies into varying degrees of effectiveness compared to standard practices. The exercise analyzed is dumbbell pull-ups.

  • Updated May 12, 2021
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It is a Problem Which I got During the ZS Data Science Challenge From Interview Bit Hiring Challenge Where I secured a 40th Rank out of 10,000 Students across India. It is a Dataset which requires Intensive Cleaning and Processing. Here I have Performed Classification Using Random Forest Classifier and Used Hyper Tuning of the Parameters to achi…

  • Updated Sep 16, 2020
  • Jupyter Notebook

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