[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.

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.

MCP server for interacting with Kaggle competitions

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

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.

End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).

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

Achieved 99% Accuracy on test set

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

🤖 A client for the Kaggle API, written in C#/.NET

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.

💾 SQL Server + Python Integration Project – This repository showcases the use of Microsoft SQL Server with Python and performing data analysis in Jupyter Notebook - ETL-Project

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

The objective of this project was to analyze two years of retail transaction data (2022 & 2023) to identify sales trends, profit growth, and business insights that can help management make data-driven decisions.