[WINNER! 🏆] Psychopathology FER Assistant. Because mental health matters. My project submission for #TFWorld TF 2.0 Challenge at Devpost.

🏁 API client for Kaggle

🧪 Open source Kaggle discord bot.

MCP server for interacting with Kaggle competitions

This code demonstrates how to integrate PySpark with datasets and perform simple data transformations. It loads a sample dataset using PySpark's built-in functionalities or reads data from external sources and converts it into a PySpark DataFrame for distributed processing and manipulation.

https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html

Nowadays, machine learning algorithms are successfully employed for classification, regression, clustering, or dimensionality etc.

This repository includes a Market Basket Analysis (MBA) project with advanced data cleaning and a Power BI dashboard. It identifies top revenue-driving item pairs, their impact on CLV and ATV, and offers insights for optimized product bundling and revenue growth.

Finding Similar Pairs using PySpark

This is a Flask-based web application that allows users to search for datasets on Kaggle and download them directly. The app provides a user-friendly interface to interact with Kaggle's dataset repository, making it easier to find and retrieve datasets.

https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html

Data Analysis and Data Visualization with matplotlib

The "Kaggle Baseline Generator with CamelAI" is a project aimed at automating the creation of baseline models for Kaggle competitions, providing competitors with a starting point for their data science challenges.

Achieved 99% Accuracy on test set

this repo shows how to load data from Kaggle to colab directly

Build a machine learning model to predict sales.

Using Google Colab, Google Drive and Kaggle notebook API on Eploratory Analisys and Linear Regression

Cummulative DS3 Datathon Leaderboard