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machine-learning-algorithms

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

Here are 11,275 public repositories matching this topic...

Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

  • Updated Jun 1, 2024
  • Jupyter Notebook

Project aims to forecast potato prices in India using LSTM, KNN, and Random Forest Regression, integrating historical data on prices, regional stats, and rainfall patterns. Targeting agricultural stakeholders for informed decision-making.

  • Updated Jun 1, 2024
  • Python

This project uses an ensemble of CNN, RNN, and VGG16 models to enhance CIFAR-10 image classification accuracy and robustness. By combining multiple architectures, we significantly outperform single-model approaches, achieving superior classification performance.

  • Updated Jun 1, 2024
  • Jupyter Notebook

"Singapore Resale Flat Prices Prediction" likely refers to a project or task focused on forecasting or predicting the future prices of resale flats in Singapore. This could involve leveraging machine learning or statistical models to analyze historical resale flat data and identify patterns or trends that may influence future prices.

  • Updated May 31, 2024
  • Jupyter Notebook
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