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AlexDolch / Project-7-Recommender-Systems
Data Science Bootcamp @WBS Coding School
python recommender-systems streamlit suprise
1
daodavid / classic-ML
Implementation of classic machine learning concepts and algorithms from scratch and math behind their implementation.Written in Jupiter Notebook Python
linear machine-learning pca python regression softmax-regression cross-entropy entropy gradient-descent k-fold-cross-validation lasso-regression maximum-likelihood-estimation naive-bayes-classifier principle-component-analysis ridge-regression sigmoid-function baysian information-gain probability suprise
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ankitapiu / Building-user-based-recommendation-model-for-Amazon.
Recommendation Systems
recommender-system sklearn eda matplotlib-pyplot numpy pandas suprise crossvalidation gridsearchcv
Language:Jupyter Notebook 0
murshidazher / recommendation-system
🎥 Building a recommendation system using python
scikit-learn suprise recommendation-engine python
Language:Jupyter Notebook
skshashankkumar41 / Netflix-Movie-Recommendation-System
A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
matrix-factorization netflix recommendation-system suprise
Language:Jupyter Notebook