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ml-algorithms

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This project develops a predictive model to estimate diamond prices based on characteristics like carat, cut, color, and clarity. It covers data preprocessing, feature engineering, model selection, training, and evaluation. The final product is a web app where users can input diamond attributes to get accurate and instant price predictions.

  • Updated Jun 16, 2024
  • Jupyter Notebook

Embark on a journey of data-driven insights with our diabetes research project. Leveraging Python's pandas, matplotlib, and scikit-learn, we preprocess, visualize, and analyze 330 health features. Employing logistic regression, decision trees, KNN, and SVM, we predict diabetes with precision.

  • Updated Apr 5, 2024
  • Jupyter Notebook

This repository contains implementations of various machine learning models for both classification and regression tasks. It serves as a comprehensive resource for understanding and experimenting with different algorithms in supervised learning.

  • Updated Mar 9, 2024
  • Jupyter Notebook

The project aims to analyze past placement data, uncover factors affecting success, and develop a machine learning model to predict future placement outcomes. Through this, we aim to gain insights and build a reliable model for accurately forecasting candidate placements.

  • Updated Feb 11, 2024
  • Jupyter Notebook

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