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pie-charts

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🌟 Internship Program Analysis 🌟 This project explores key trends in internship opportunities across various companies and roles. Using Python (Pandas, Matplotlib, Seaborn), the dataset was cleaned, analyzed, and visualized for insights. It highlights top internship titles, locations, durations, and stipend patterns.

  • Updated Nov 15, 2025
  • Jupyter Notebook

🔴 Credit Risk Prediction 🔴 A machine-learning–based analysis designed to predict whether a loan applicant is likely to default. Using a refined Credit Risk Dataset, I cleaned, processed, and visualized key financial features such as income, loan amount, and credit history. Multiple classification models were trained with accuracy.

  • Updated Apr 3, 2026
  • Jupyter Notebook

The PyBer Analysis repo contains an analysis of ridesharing and city data using Python, NumPy, Matplotlib, and SciPy by creating line charts, bar charts, scatter plots, bubble charts, pie charts, and box-and-whisker plots. Using Pandas DataFrames and groupby, pivot, and resample functions, the data has been analyzed to determine total rides, tot…

  • Updated May 31, 2021
  • Jupyter Notebook

Explore how to build an interactive student performance dashboard using Syncfusion's powerful WPF chart controls. This demo showcases data visualization techniques, dynamic chart updates, and integration with .NET applications for educational insights.

  • Updated Feb 5, 2026
  • C#

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