YouTube is an online video sharing and social media platform owned by Google where users can watch, like, share, comment and upload their own videos. The video service can be accessed on PCs, laptops, tablets and via mobile phones. YouTube is the second most popular site on the web, with visitors watching around 1 billion hours of video every day.
Ultralytics Notebooks 🚀
EscVM YouTube Channel Repository. Start from Notebooks ⬅️
Jupyter notebooks used for analysis
Jupyter Notebook to analyze your YouTube data.
In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API.
A working repository containing a curated collection of research tools, utilities, and support projects for quantitative finance and AI development. Repository contents may occasionally differ from local versions due to ongoing development cycles and licensing considerations.
Download YouTube Subtitles using youtube-dl with the option to duplicate a Google Colab Notebook directly
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 is an AI-native workflow-based tool that sits between NotebookLM and YouTube. Its basic purpose is to scrape all the URLs from any YouTube playlist and upload them as sources into a notebook, saving time and sanity. It is built for The Neo-Faceless Asset Forge, a new YouTube channel for entrepreneurs - coming soon.
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 notebook demonstrates a YouTube video summarization system that leverages multiple Gen AI capabilities from Google's Vertex AI.
This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube
Materials and notebooks in development for DS showcase on Cal Day 2020!
A collection Jupyter notebooks with examples of data requests using APIs and web scrapers.
Exploratory Data Analysis (EDA) of YouTube Trending Videos dataset using Python, pandas, matplotlib, seaborn, Jupyter Notebook.
This particular Python notebook is designed to provide Engineers with an opportunity to practice scientific computations.
This notebook attempts to do topic modelling on Cyberpunk 2077 YouTube videos using the LDA method.
Created by Jawed Karim, Chad Hurley, Steve Chen
Released February 14, 2005