[WINNER! 🏆] Psychopathology FER Assistant. Because mental health matters. My project submission for #TFWorld TF 2.0 Challenge at Devpost.
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Updated
Mar 25, 2023 - Jupyter Notebook
[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
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.
Nowadays, machine learning algorithms are successfully employed for classification, regression, clustering, or dimensionality etc.
End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).
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
Data Analysis and Data Visualization with matplotlib
🤖 A client for the Kaggle API, written in C#/.NET
💾 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
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.
this repo shows how to load data from Kaggle to colab directly
Build a machine learning model to predict sales.
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