This repo is for finding document similarity using tfidf and kmeans , we used ted talk dataset from keggle
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Updated
Aug 26, 2018 - Python
This repo is for finding document similarity using tfidf and kmeans , we used ted talk dataset from keggle
My university 1st year course homework.
It's tetris but not -- don't sue me.
React application to look for TED Talks and filter by tags
Small API to Create and Explore conferences and talks
Small script for the extraction of video subtitles of TED videos.
3 projects in the field of Data Science and visualisation with datasets from Kaggle/Science
Just a sample practice code using Python.
Predict which Ted-Talks belongs to which topics using Topic Modelling
Scrape TED talks transcripts for those with summaries
Using CNNs to perform facial expression recognition and analysing TED talks to gain insights.
Exploratory data analysis for the TED dataset on Kaggle : https://www.kaggle.com/rounakbanik/ted-talks
It is a Capstone project. A regression model has been built using Random Forest, which can predict views for TED talk videos. The data file contains 4000+ records.
Documentation of TED Corpus Search Engine, a search engine specializing in exploring transcripts of TED Talks
A repository of basic MapReduce queries run on the Ted_talks dataset downloaded from Kaggle (Link: https://www.kaggle.com/rounakbanik/ted-talks).
There are tons of these videos across the world. They are recorded in different locations, with different topics and a variety of speakers. Tagging these videos manually to a certain category is the biggest challenge given the number of videos we have already. Let’s look at machine learning and natural language processing to solve this problem.
Project repo for TED Talk text mining analysis
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