Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.
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Updated
Jun 2, 2024 - Jupyter Notebook
Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Fetch all kernels written for competitions from Kaggle.
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.
my attempt to train a model on Ames housing dataset.
Goal Project : Books recommendations in Python using Amazon Books Dataset from Kaggle website. Open for contribution. README
A collection of various data analysis approaches
A set of resources around Neo4J ninjas program
A machine learning model implemented in Rust 🦀 + Burn 🔥 for the LEAP - Atmospheric Physics using AI (ClimSim) Kaggle challenge
Daily consolidated and enriched snapshots of endoflife.date
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Stable Diffusion Web UI Notebook
Implementation for the different ML tasks on Kaggle platform with GPUs.
Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query
Stable-Diffusion-WebUI. One simple notebook for two environments: Colab (Pro|Free) / Kaggle.
Fast and customizable framework for automatic ML model creation (AutoML)
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