📈 Data Science Mutual Fund Plan Project

This project explores and analyzes mutual fund data to understand performance trends and assist in data-driven investment planning. Using Python, it focuses on return-based insights across 1, 3, and 5-year durations with clear visual representation.

---

📁 Project Structure

• Mutual_Fund_Plan_Colab.ipynb – Main notebook for analysis and visualization
• Dataset/ – Contains the raw mutual fund data
• Images/ – Plots and visualizations exported from the notebook
• readme.md – Project overview and documentation

---

📦 Libraries Used

• pandas – Data manipulation and preprocessing
• numpy – Numerical operations
• plotly – Interactive data visualizations

---

📊 Objective

• Load and process mutual fund return data
• Visualize performance across different timeframes
• Identify top-performing funds based on historical trends
• Enable informed decision-making for long-term investment

---

🖼️ Visualizations

Interactive plots generated using Plotly are available in the notebook and stored in the Images/ folder.

---

📌 Usage

1. Open the notebook:
   • Mutual_Fund_Plan_Colab.ipynb-Colab.pdf
2. View all the cells of the relevant code of the Machine Learning Project.
3. Note: If the pdf is not available, please download the pdf and view the code base

---

❤️ Made with Love by GeekyVishweshNeelesh