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Anthropic's Interactive Prompt Engineering Tutorial
A library for generating fake data such as names, addresses, and phone numbers.
Basic Recommender System that provides Content Based Filtering or Product based Recommendations over MovieLens Movies data-set to be used with native and AWS EMR Hadoop
This is movie recommendation system with pandas back-end. There are a few things you can do with it. Search for movie, find movie what to watch based on genre and when you have watched a movie to f…
A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83
tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
Data Analytics and Machine Learning project for a University of Toronto graduate course.
A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
Implementation of Collabrative Filtering way of recommendation engine
Movie recommend system of netflix data (now making)
On this project, Collaborative Filtering algorithm is implemented to recommend movies for people who will watch that film in future.
Recommender System using Collaborative Filtering for the Netflix dataset
Implementation of the Matrix Factorization Recommender System from the Netflix Paper
Simple Alternating Least Squares (ALS) recommender implementation for the Netflix dataset
A simple movie recommendation engine
Prediction Algorithm for Customer Ratings
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Files for Udemy Course on Algorithms and Data Structures
This repository contains code samples from http://www.svm-tutorial.com/
rdpeng / courses
Forked from DataScienceSpecialization/coursesCourse materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1