https://github.com/namratagulati/ytvideostats

The YouTube Video Analysis project aims to infer the top 15 trending videos in India through the use of Pandas, Matplotlib, and Seaborn for data manipulation and visualization. The analysis provides insights into video performance and a word cloud aiding content creators in optimizing their YouTube strategies.
https://github.com/namratagulati/ytvideostats

machinelearning matplotlib-python pandas pandas-python seaborn-python youtube youtube-video

Last synced: 6 days ago
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The YouTube Video Analysis project aims to infer the top 15 trending videos in India through the use of Pandas, Matplotlib, and Seaborn for data manipulation and visualization. The analysis provides insights into video performance and a word cloud aiding content creators in optimizing their YouTube strategies.

• Host: GitHub
• URL: https://github.com/namratagulati/ytvideostats
• Owner: namratagulati
• Created: 2023-08-12T09:28:38.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-11-25T11:21:53.000Z (10 months ago)
• Last Synced: 2024-09-25T03:03:53.840Z (9 days ago)
• Topics: machinelearning, matplotlib-python, pandas, pandas-python, seaborn-python, youtube, youtube-video
• Language: Jupyter Notebook
• Homepage:
• Size: 505 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ytvideostats: YouTube Video Analysis Project

## Overview

The YouTube Video Analysis project aims to infer the top 15 trending videos in India through the use of Pandas, Matplotlib, and Seaborn for data manipulation and visualization. The analysis provides insights into video performance, aiding content creators in optimizing their YouTube strategies. Additionally, the project includes a word cloud visualization highlighting the most frequently occurring words in the trending videos.

## Project Features

- **Top 15 Trending Videos:** The project identifies and analyzes the top 15 trending videos in India, offering a snapshot of the most popular content.

- **Performance Judgement:** Through data manipulation and visualization using Pandas, Matplotlib, and Seaborn, the project provides insights into the performance of trending videos. This information is valuable for content creators seeking to enhance their YouTube strategies.

- **Word Cloud:** A word cloud visualization is generated, showcasing the most frequently occurring words in the trending video titles or descriptions.

## Implementation

The project is implemented using Python and popular data science libraries, including Pandas for data manipulation and Matplotlib/Seaborn for visualization. The code is organized for clarity, making it easy for users to understand and potentially modify for their own analyses.

## Getting Started

To get started with the project, follow this step & run the provided colab notebook to analyze the top trending videos in India and generate visualizations:

 Clone the repository to your local machine:

   ```bash

   git clone https://github.com/your-username/ytvideostats.git