tutorials VS MovieRecommender

Compare tutorials vs MovieRecommender and see what are their differences.

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SaaSHub - Software Alternatives and Reviews
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tutorials MovieRecommender
3 4
966 32
0.7% -
0.0 0.0
about 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tutorials

Posts with mentions or reviews of tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-13.

MovieRecommender

Posts with mentions or reviews of MovieRecommender. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing tutorials and MovieRecommender you can also consider the following projects:

diffusion-models-class - Materials for the Hugging Face Diffusion Models Course

TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques

pml-book - "Probabilistic Machine Learning" - a book series by Kevin Murphy

apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv

Emotions-Classification - Tells You about the emotion/Sentimental Analysis of a Sentence

TensorRec - A TensorFlow recommendation algorithm and framework in Python.

manim-tutorial - Manim tutorial presented to PhD and Master student at UCLouvain

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

EverythingCrypto - (Still exploring) My cryptography journey: A collection of notebooks covering different algorithms and concepts from cryptography

recommenders - Best Practices on Recommendation Systems

pyspark-tutorial - PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beginner-friendly without any prerequisites.

Artificial-Intelligence-Projects - Collection of Artificial Intelligence projects.