Investigated Lyft riders’ data set, by performing data wrangling, conducting exploratory data analysis, and building statistical machine-learned model, using python packages, to determine KPIs, that guide riders’ cancellation decision
Data Science undergraduate thesis presentation.
Part of a presentation I gave at a career day at a local junior high. This is an example of an algorithm that will recommend movies.
[ Algorithms ] - Search-, Sort-, and Recommendation Algorithms implemented in C#, Python, Java and Swift
A collection of scientific projects in C++ and Python
Board game recommendation engine
Recommender as a service.
A repository to practice with recommendation engines.
A collaborative filtering model that recommends users which movies they should watch.
Recommendation engine wrapped in Flask (based on 27,225,144 ratings and MovieLens dataset)
An algorithm performance report on the itemKNN algorithm using collaborative filtering paradigm as the learning method. I created this report during my summer internship at B2BPlanet.com
Machine Learning Enabled Movie Recommendation API
matrix-factorization is a light-weight program written in python language for performing basic operations for matrix factorization-based collaborative filtering. I have plans to create a python module from this repository in the future. If you want to contribute to this project, you are most welcome.
Behavior based video recommendation, global keyboard control and ads block for Youtube
Add a description, image, and links to the recommendation-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the recommendation-algorithm topic, visit your repo's landing page and select "manage topics."