This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.

Daily consolidated and enriched snapshots of endoflife.date

Empowering Data Driven insights through hands-on projects, SQL challenges and practical tools.

Kaggle Notebooks

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.

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

Fast and customizable framework for automatic ML model creation (AutoML)

AI model for summarizing and categorizing news articles

This is a collection of my submissions to the ongoing Kaggle Playground Series!

my attempt to train a model on Ames housing dataset.

Fast and customizable framework for automatic and quick Causal Inference in Python

Nuclear Energy Generation Prediction Logistic Regression project is aimed at predicting the nuclear energy generation based on the production (generation) data from 1991 to 2023 by using Logistic Regression.

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

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.