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insight-communication

Here are 3 public repositories matching this topic...

🌟 Application Behavior Analysis 🌟 Using the Online Shoppers Intention dataset, it tracks engagement, drop-offs, and conversion trends. Conducted analysis with Python, Pandas, Matplotlib, and Seaborn to uncover behavioral insights. Focused on identifying exit points, improving user flow, and boosting conversion rates.

  • Updated Nov 15, 2025
  • Jupyter Notebook

🌟 Intern Performance Prediction Using Machine Learning 🌟 Using Python, Pandas, and Scikit-learn, I built a predictive model to estimate performance probability. Created 10+ colorful visualizations to explore key factors like feedback and consistency. Achieved 90%+ accuracy with Random Forest, revealing insights for personalized mentorship.

  • Updated Nov 15, 2025
  • Jupyter Notebook

πŸ“Š Predict intern performance using machine learning to guide mentorship, enhance training, and improve outcomes based on data-driven insights.

  • Updated Nov 27, 2025

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