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insight-communication

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Abdullah321Umar / Internee.pk-DataAnalytics_Internship-Assignment3

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🌟 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.

github git deployment pandas seaborn python-programming matplotlib standardization scaling vs-code feature-engineering data-normalization heatmaps cleaning statistical-thinking report-writing model-saving insight-communication project-structuring
  • Updated Nov 15, 2025
  • Jupyter Notebook

Abdullah321Umar / Internee.pk-DataAnalytics_Internship-Assignment8

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🌟 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.

python documentation analytics numpy data-visualization seaborn matplotlib problem-solving critical-thinking time-management performance-optimization color-theory trend-analysis user-behavior-analysis chart-design kpi-development insight-communication conversion-funnel-analysis
  • Updated Nov 15, 2025
  • Jupyter Notebook

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