New Project: Mutual Funds and ETFs Analysis

[PRIYANSHU2026]

Project Overview: We are initiating a new project to analyze mutual funds and ETFs data using the "Mutual Funds and ETFs" dataset available on Kaggle. This dataset provides comprehensive information about various mutual funds and ETFs, and our objective is to derive valuable insights, create visualizations, and develop predictive models.

Dataset Link: Kaggle: Mutual Funds and ETFs

Objectives:

1. Data Cleaning: Ensure the dataset is clean and ready for analysis.
2. Exploratory Data Analysis (EDA): Perform EDA to understand the key features and their relationships.
3. Visualizations: Create insightful visualizations to represent the data.
4. Predictive Modeling: Develop and evaluate predictive models based on the dataset.
5. Documentation: Document the entire process, including code, findings, and conclusions.

Tasks:

• [ ] Download and review the dataset from Kaggle.
• [ ] Perform data cleaning and preprocessing.
• [ ] Conduct EDA and create visualizations.
• [ ] Develop predictive models using machine learning techniques.
• [ ] Evaluate the performance of the models and fine-tune as necessary.
• [ ] Document the process and results in a comprehensive report.

Tech Stack:

• Python
• Pandas
• Matplotlib / Seaborn
• Scikit-learn
• Jupyter Notebook

Additional Notes:

• Ensure all code is well-documented and follows best practices.
• Regularly commit progress to the repository.

[Samik123Mit]

pls assign me the issue,i have prior experience with the model task.