nd-collab's repositories
AmazonProductRecommendation-CF-ALS-Spark
We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.
Amzon-Product-Recommendation
Building Recommendation Model for the electronics products of Amazon
BigMart_Product_Recommendation_System_ML
You would have probably come across the Recommendations by YouTube, or Netflix or even on Amazon when purchasing products. So this is a Recommmendation System which creates a Recommendation system based on a Big Mart Sales of products using Apriori and Eclat Machine Learning models.
Datasets-for-Recommender-Systems
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Kafka-Spark-Product-Recommendation
Python script demonstrating spark streaming and Kafka implementation using an e-commerce website like product recommendation engine based on item-based collaborative filtering. 🐍. 💥
kaggle-santander-product-recommendation
Code used in Kaggle's Santander Product Recommendation competition.
materials
Bonus materials, exercises, and example projects for our Python tutorials
product-recommendation-with-watson-ml
Build a recommendation engine with Spark and Watson Machine Learning
Space-Shooters
This game is related to space shooters, you have a player that kills the enemies.
The-Advanced-Boys
This unordinary game was created in 2023 where I built a monkey shooting bananas at the meteorites saving the world.