{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Music Classification Dataset - Exploratory Analysis\n",
        "\n",
        "---\n",
        "\n",
        "**Project:** Music Classification Dataset  \n",
        "**Author:** Molla Samser  \n",
        "**Company:** RSK World  \n",
        "**Designer & Tester:** Rima Khatun  \n",
        "**Website:** https://rskworld.in  \n",
        "**Email:** help@rskworld.in, support@rskworld.in  \n",
        "**Phone:** +91 93305 39277  \n",
        "\n",
        "---\n",
        "\n",
        "This notebook provides an exploratory analysis of the music classification dataset.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Import required libraries\n",
        "# Author: Molla Samser (RSK World)\n",
        "# Website: https://rskworld.in\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "# Set style\n",
        "sns.set_style('whitegrid')\n",
        "plt.rcParams['figure.figsize'] = (12, 6)\n",
        "\n",
        "print('Libraries imported successfully!')\n",
        "print('Author: Molla Samser | RSK World')\n",
        "print('Website: https://rskworld.in')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Load dataset information\n",
        "# Author: Molla Samser (RSK World)\n",
        "\n",
        "train_df = pd.read_csv('../data/train_data.csv')\n",
        "test_df = pd.read_csv('../data/test_data.csv')\n",
        "\n",
        "print('Training samples:', len(train_df))\n",
        "print('Testing samples:', len(test_df))\n",
        "print('\\nGenre distribution:')\n",
        "print(train_df['genre'].value_counts())\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "# Visualize genre distribution\n",
        "# Author: Molla Samser (RSK World)\n",
        "# Website: https://rskworld.in\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "genre_counts = train_df['genre'].value_counts()\n",
        "plt.bar(genre_counts.index, genre_counts.values, color='steelblue')\n",
        "plt.xlabel('Music Genre')\n",
        "plt.ylabel('Number of Samples')\n",
        "plt.title('Genre Distribution in Training Dataset\\nRSK World - Music Classification')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Contact Information\n",
        "\n",
        "**Author:** Molla Samser  \n",
        "**Company:** RSK World  \n",
        "**Designer & Tester:** Rima Khatun  \n",
        "**Website:** [https://rskworld.in](https://rskworld.in)  \n",
        "**Email:** help@rskworld.in, support@rskworld.in  \n",
        "**Phone:** +91 93305 39277  \n",
        "\n",
        "**© 2026 RSK World - Free Programming Resources & Source Code**\n"
      ]
    }
  ],
  "metadata": {
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}