jhonsfran1165 / recommender-system

Python API to recommend books to end users

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readme

https://realpython.com/k-means-clustering-python/

https://scikit-learn.org/stable/modules/preprocessing.html

https://www.aprendemachinelearning.com/k-means-en-python-paso-a-paso/

https://www.youtube.com/watch?v=s6PSSzeUMFk

really good

https://www.youtube.com/watch?v=3Spa10-mwsw

https://www.youtube.com/watch?v=mmB9RroFv8c

machine learning process

https://www.youtube.com/watch?v=JZSYll1j6QA

apriori algorithm

https://towardsdatascience.com/data-mining-market-basket-analysis-with-apriori-algorithm-970ff256a92c

https://towardsdatascience.com/fp-growth-frequent-pattern-generation-in-data-mining-with-python-implementation-244e561ab1c3

https://towardsdatascience.com/fp-growth-frequent-pattern-generation-in-data-mining-with-python-implementation-244e561ab1c3

https://arno.uvt.nl/show.cgi?fid=149422

https://www.youtube.com/watch?v=jLtaqJe5fNM&list=LL&index=3

https://towardsdatascience.com/build-your-own-clustering-based-recommendation-engine-in-15-minutes-bdddd591d394

https://towardsdatascience.com/unsupervised-classification-project-building-a-movie-recommender-with-clustering-analysis-and-4bab0738efe6

kmeans on catagorical data

https://datascience.stackexchange.com/questions/22/k-means-clustering-for-mixed-numeric-and-categorical-data

https://www.pluralsight.com/guides/cleaning-up-data-from-outliers