Skip to content
#

machine-learning-models

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 23 public repositories matching this topic...

Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

  • Updated Aug 16, 2025
  • HTML

The Plant Leaf Disease Detection repository is a comprehensive project built using Django and Flask frameworks, aimed at assisting in the identification and diagnosis of diseases affecting plant leaves.

  • Updated May 26, 2023
  • HTML

This project focuses on credit risk analysis using SQL, Python, and Power BI. We built an end-to-end pipeline that starts with raw loan applicant data and ends with an interactive dashboard for stakeholders to monitor loan defaults.

  • Updated Oct 1, 2025
  • HTML

NeuralSheild AI, an open-source, cross-platform AI spam detection engine using Logistic Regression. Actively protecting Email, SMS, Telegram, and Instagram. Join us in building a safer internet.

  • Updated Oct 23, 2025
  • HTML

Predicting hotel booking cancellations using Machine Learning in R, with data preprocessing and model training. Random Forest achieved 85.23% accuracy, highlighting lead time and previous cancellations as key factors.

  • Updated Mar 26, 2025
  • HTML
Followers
82.8k followers
Website
github.com/topics/machine-learning
Wikipedia
Wikipedia