EscVM YouTube Channel Repository. Start from Notebooks ⬅️

Gathers data from a given amount of suggested videos using YouTube's Data API. Comes with a Jupyter Notebook used to plot relationships between key data points. Started this project to research YouTube recommendations and answer specific research questions.

This repository contains Python scripts and Jupyter notebooks for analyzing YouTube data related to Dragonboat paddling channels. It includes functions to interact with the YouTube Data API to retrieve channel information, video data, activities, and analytics.

Explore the fascinating world of YouTube analytics with this repository! Dive into the data behind video trends, channel performance, and category insights. From time-to-trending analysis to the impact of tags on views, uncover valuable insights to understand what makes YouTube content go viral. Includes Jupyter Notebook code for data exploration.

Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)

This repository contains a collection of free Google Colab notebooks that you can use to learn about machine learning, data science, and other topics. The notebooks are all open source, so you can modify them to fit your own needs.

This Colab notebook provides a simple way to convert YouTube videos into a PowerPoint presentation (PPTX) format. It utilizes the power of Python, Google Colab, and various libraries to automate the process of extracting frames from the video and creating a presentation.

Jypiter Notebook preparada para Google Colab que sirve para descargar vídeos o playlists de YouTube en el formato que tú quieras

This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.

A collection Jupyter notebooks with examples of data requests using APIs and web scrapers.

In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.

Jupyter notebooks used for analysis

We have implemented the analysis using python programming language and Jupyter notebooks. We have used many libraries available for data visualization, data scraping, analysis in python. Use of data visualization has lead to creation of data plots or diagrams which can lead to better analysis of trends in pictorial form.

This repository will be making analysis on Youtube data, the data will be coming straight from the Youtube Data API, so will demonstrate how to access the API and the kind of data the API contains this analysis will be done using Jupyter Notebooks and Python

Download YouTube Subtitles using youtube-dl with the option to duplicate a Google Colab Notebook directly

This notebook attempts to do topic modelling on Cyberpunk 2077 YouTube videos using the LDA method.

This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube

Jupyter notebook which shows your YouTube statistics based on your liked videos

Jupyter Notebook to analyze your YouTube data.

This notebook dives into the YouTube Trends from Germany in order to understand the Germany video pattern