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Domain: github.com Added: 2025-11-08 Status: βœ“ Success
github.com code development github
I made two models for predicting reorder & None. Following are the features I made. - How often the user reordered items - Time between orders - Time of day the user visits - Whether the user ordered ...
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Max Lin on finishing second in the R Challenge
https://medium.com/kaggle-blog/max-lin-on-finishing-second-in-the-r-challenge-520a7d785beb?source=rss----4b0982ce16a3---4
Max Lin on finishing second in the R Challenge I participated in the R package recommendation engine competition on Kaggle for two reasons. First, I u...
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Quan Sun on finishing in second place in Predict Grant Applications
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Quan Sun on finishing in second place in Predict Grant Applications I’m a PhD student of the Machine Learning Group in the University of Waikato, Hami...
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Writing an LLM from scratch, part 22 -- finally training our LLM!
https://www.gilesthomas.com/2025/10/llm-from-scratch-22-finally-training-our-llm
Writing an LLM from scratch, part 22 -- finally training our LLM! This post wraps up my notes on chapter 5 of Sebastian Raschka's book "Build a Large ...
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https://towardsdatascience.com/a-performant-recommender-system-without-cold-start-problem-69bf2f0f0b9b/
Recommendation System Perhaps the most famous recommender system is the so-called matrix factorization. In this collaborative recommender, users and i...
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https://github.com/benfred/implicit
Fast Python Collaborative Filtering for Implicit Datasets. This project provides fast Python implementations of several different popular recommendati...
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https://towardsdatascience.com/building-a-recommender-system-using-machine-learning-2eefba9a692e/
The Kaggle Blueprints Welcome to the first edition of a new article series called "The [Kaggle](https://www.kaggle.com/) Blueprints", where we will an...
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Qwen3.5 - How to Run Locally Guide | Unsloth Documentation
https://unsloth.ai/docs/models/qwen3.5#qwen3.5-27b
πŸ’œQwen3.5 - How to Run Locally Guide Run the new Qwen3.5 LLMs including Medium: Qwen3.5-35B-A3B, 27B, 122B-A10B, Small: Qwen3.5-0.8B, 2B, 4B, 9B and 39...
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Identifying bots in an online auction
https://small-yellow-duck.github.io/auction.html
| The data consists of a list of bid events (auction id, user id, time, IP, location) and a table, X, with the bidder id's, the hashed contact and pay...
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A Visual Guide to Tuning Decision-Tree Hyperparameters
https://towardsdatascience.com/visualising-decision-trees/
Introduction Based on these two factors, I’ve decided to do an exploration of how different decision tree hyperparameters affect both the performance ...
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Writing an LLM from scratch, part 28 -- training a base model from scratch on an RTX 3090
https://www.gilesthomas.com/2025/12/llm-from-scratch-28-training-a-base-model-from-scratch
Writing an LLM from scratch, part 28 -- training a base model from scratch on an RTX 3090 Having worked through the main body of Sebastian Raschka's b...
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