Stable Diffusion Web UI Notebook

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.

Kaggle Notebooks

Coronavirus Dataset Exploration

Different projects to discover Data Science

Here are some of my Kaggle notebooks.

Explore the Kaggle Codes Repository for concise and powerful code snippets covering the essentials of data science and machine learning. From Kaggle competitions to real-world projects, discover insights into exploratory data analysis, machine learning models, feature engineering, and data science mathematics.

This repository features a recommendation system and analytics engine using datasets on users, organizations, contents, contacts, events, and recommendations. It includes data preprocessing, building a recommendation system, and creating visual reports with Power BI.

Stable-Diffusion-WebUI. One simple notebook for two environments: Colab/Kaggle.

Work for the House Prices kaggle challange https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques

A set of resources around Neo4J ninjas program

Daily consolidated and enriched snapshots of endoflife.date

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.

Implementation for the different ML tasks on Kaggle platform with GPUs.

Bunch of notebooks collection from Kaggle competitions.

LMSYS - Chatbot Arena Human Preference Predictions | Predicting Human Preferences in the Wild

Repository related to courses and submission from kaggle

A Performance Study of Naive Bayes Classifier in Advertisement Analysis