Context This is a collection of pre-trained Gensim models produced for Data Science Nashville's November meetup, "Introduction to Gensim." I've trained these models on the [English Wikipedia Articles 2017-08-20 SQLite][1] dataset, and will be uploading the scripts used. Check back here soon for links. Content - Dictionary - TF-IDF - Latent Semantic Indexing/Analysis (LSI/LSA) - topics = 200 - single pass - Latent Dirichlet Allocation (LDA) - topics = 200 - single pass - Word2Vec - size = 100 - 5 epochs - FastText - size = 100 - 5 epochs Acknowledgements Hopefully, these pre-trained models will be useful for fledgling data scientists that are new to Gensim. I suggest creating a notebook and linking the [English Wikipedia Articles 2017-08-20 SQLite][2] to it so you have some data to play with. Note that these models are not tuned in any manner whatsoever, I simply wanted to demonstrate how to train a Gensim model and allows users to explore the API. The banner image was provided by [Jack T][3] on [Unsplash][4]. [1]: https://www.kaggle.com/jkkphys/english-wikipedia-articles-20170820-sqlite [2]: https://www.kaggle.com/jkkphys/english-wikipedia-articles-20170820-sqlite [3]: https://unsplash.com/@blankest [4]: https://unsplash.com