Playstore-Project

Overview

In this project, our goal is to visualize raw data to derive meaningful insights and determine the most accurate prediction method through analysis.

Steps Involved

• Importing libraries

  • Step one involves importing all the libraries used for data preprocessing, visualization, and modeling.

• Loading the datasets

  • Importing the CSV file containing data from the Play Store.

• Initial Data Analysis

  • This stage involves...

• Preprocessing

  • Refining raw materials before crafting a masterpiece involves cleaning, transforming, and organizing data to enhance its quality and usability.

• Data Cleaning

  • Clearing all null values and making replacements where necessary.

• Exploratory Data Analysis

  • Visualizing data using different techniques for a better understanding.

• Data Splitting

  • Splitting the data into training and test datasets.

• Modeling

  • Using various classification modeling methods to determine the best-suited approach and applying it.

Usage

To replicate or explore this project:

1. Clone this repository.
2. Ensure the required libraries are installed using the provided requirements.txt file.
3. Run the Python script or Jupyter Notebook to execute the code.

Contributions

Contributions to enhance the visualization techniques, optimize code, or add more comprehensive analyses are welcome. Please fork the repository, make your changes, and create a pull request.

Contact Information

For any queries or suggestions regarding this project, feel free to reach out:

• ✉️ Email: [email protected]
• 🔗 LinkedIn: workwithabhinav

Happy visualizing! 📊✨