Richard Gurtsiev's starred repositories
Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
ml-forecast-features-eng
Machine Learning for Retail Sales Forecasting — Features Engineering
Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
LLM-RecSys-ID
How to Index Item IDs for Recommendation Foundation Models
LLMs-as-Zero-Shot-Conversational-RecSys
Evaluation data, LLMs query code and results for "Large Language Models as Zero-Shot Conversational Recommenders" on CIKM 2023.
recsys-llm-chatbot
A LLM based chatbot Recommender engine
MLMovieRecommendationsALS
Movie Recommendations using Latent Factor Analysis Algorithm - ALS(Alternating Least Squares) technique for error function minimization
MLProject-RecommendationSystem
Content based Recommendation System
Movie-Recommendation-System-NLP-ML-DL-approaches
An explicit and implicit recommendation system using User-user Collaborative Filtering, Neural Collaborative Filtering, Matrix factorization, and Bayesian Personalized Ranking (BPR) techniques to improve the accuracy of personalized recommendations
Music-Recommendation-System-Kaggle-ML-Challenge-
Designed a classifier using various models such as Naïve bayes, SVM, NN, Deep learning, LGBM, XGBoost, etc. Performed pre-processing of data and applied k-fold cross-validation. Secured Top 100 position on Kaggle competition leaderboard with an accuracy of 69.62%.
Movie_Recommendation_System_Using_ML
Made an Movie Recommendation System using Content based filtering, Collaborative based filtering and Hybrid also. Recommend movies to user on basis of his/her prev ratings to movies
ML-Netflix-Recommendation-Project
Create a recommendation system for netflix
ML-Instagram-Recommendation-Project
Instagram recommendation app
pictures-recommendation-yandex-ml-2019
Recommending System for Pictures - 4th place @ Yandex ML Competition
Music-Recommender-System-using-ML
It recommends song using collaborative filtering
Book-Recommendation-System-ML
This is a Book Recommendation System project using machine Learning
News-Recommendation-Using-ML
This is a News Website which uses machine learning to recommend the news when a user clicks on any news.
MLOps-Recommendation
End to end machine leanring project: This repository serves as a simplified guide to help you grasp the fundamentals of MLOps.
Music-Recommendation-System-ML
Get recommended music based on users' ratings.
Recommended-Bets-By-Email-MLB
An advanced machine learning model utilizes a Random Forest Regressor to generate betting recommendations for Major League Baseball (MLB) games.
Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis
This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Turicreate, A matrix Factorization system from scratch and a Deep Learning Recommender System which learns using embeddings. Besides this Market Basket Analysis using Apriori Algorithm has also been done. Deployment of Embedding Based Recommender Systems have also been done on local host using Streamlit, Fast API and PyWebIO.
ML_Movie_Recommendations_Systems
Group 3 Final Project - Data Science Bootcamp