kaggle-api
There are 44 repositories under kaggle-api topic.
RodolfoFerro/psychopathology-fer-assistant
[WINNER! ๐] Psychopathology FER Assistant. Because mental health matters. My project submission for #TFWorld TF 2.0 Challenge at Devpost.
mkearney/kaggler
๐ API client for Kaggle
Dishant27/kaggle-MCP
MCP server for interacting with Kaggle competitions
Jfaler/discord-kaggle-bot
๐งช Open source Kaggle discord bot.
CamilaJaviera91/pyspark-first-approach
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.
mattdelaune/Ecommerce_Market_Basket_Analysis
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.
CamilaJaviera91/flask-to-download-csv-file
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.
joshi98kishan/Leaf-Disease-Detection
Achieved 99% Accuracy on test set
MithilKothari/Orders-Data-Analysis-using-SQL
End-to-end Orders data analysis project using Python and SQL to extract, clean, and analyze order data from Kaggle (dataset).
SohelRana-aiub-Pro/Advance-Machine-Learning-and-Data-Science-Relevant-Projects
Nowadays, machine learning algorithms are successfully employed for classification, regression, clustering, or dimensionality etc.
SohelRana-aiub-Pro/Traffic-Forecasting-Graph-Neural-Networks-LSTM
https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html
111Aaru11/Python-SQL-Project
๐พ SQL Server + Python Integration Project โ This repository showcases the use of Microsoft SQL Server with Python and performing data analysis in Jupyter Notebook - ETL-Project
LouisCanBe/KaggleGo-Fall-in-Love-with-DeepSeek-Hackathon
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.
PetterPet01/KaggleAPI-NET
๐ค A client for the Kaggle API, written in C#/.NET
pramodh941/AMD
Finding Similar Pairs using PySpark
sayedmohamedscu/kaggle-dataset-to-colab
this repo shows how to load data from Kaggle to colab directly
SohelRana-aiub-Pro/Region-Proposal-Object-Detection-using-Computer-Vision-Algorithms
https://docs.omniverse.nvidia.com/prod_install-guide/prod_install-guide/overview.html
souravskr/Google-Play-Store-Analysis
Data Analysis and Data Visualization with matplotlib
bkusuma/kaggle-competition-template
A template to simplify getting started with each Kaggle Competition you choose to enter
HagerMahmoud2/orders_data_analytics_project
end-to-end data analytics project that utilizes Python and SQL to process and analyze data. The goal is to demonstrate the complete lifecycle of a data analytics workflow, from dataset acquisition to answering key business questions.
I-Am-Timothy-Williams/london-bike-rides
Importing data using a kaggle dataset on the number of london bike rides throughout the year into a python script with the kaggle api. Clean data using pandas library, then create a Tableau Dashboard to visualize data
paschalugwu/predict-bike-sharing-demand
Leveraging AutoGluon, this project predicts bike sharing demand by integrating advanced automated machine learning techniques with extensive data exploration and hyperparameter optimization.
theDS3/Datathon-Leaderboard
Cummulative DS3 Datathon Leaderboard
Athul64/Student-Depression-ML
The Student Depression Dataset is designed to analyze and predict depression levels among students based on various academic, demographic, and lifestyle features.
bhuvanesh2004/ETL-Data-Analytics-on-Retail-Sales-Data
Performed ETL on Retail Sales data an end to end data analytics project using PYTHON and SQL. By using Kaggle API to download the dataset and transformed data, processed data and cleaning using pandas and load the data into Sql Server.
binaryshrey/Kaggle-Profile-API
Kaggle API to fetch user's profile data and activity
evgeniyarbatov/gnss
Map GNSS Android IDs to NORAD IDs
Kratugautam99/Kaggle-Works
Kaggle-Works is your one-stop repo to organize every phase of a Kaggle competition or tabular-data project. It enforces a clear directory layout so you never lose track of files, and makes it easy to hand off or reproduce your work later.
Omar7amid/forex-pattern-mining-dashboard
๐ Discover and analyze frequent intraday forex patterns with this machine learning dashboard, built on cutting-edge research for effective trading.
ontu001/SAAS-financial-market-analysis
A complete end-to-end SaaS Financial Market Analysis project using SQL (PostgreSQL), Python, and Power BI. The project covers data cleaning, SQL-based business analysis, and interactive dashboards to uncover insights on revenue growth, profitability, churn, ARPU, and market share in the SaaS industry.
ParthaPRay/kaggle_colab_basic_dataset
This repo contains codes of setting kaggle API and kagle dataset on Google Colab
PcityB/forex-pattern-mining-dashboard
Machine Learning Dashboard for Forex Pattern Mining with Kaggle Integration - Research-based algorithmic framework
shrutijaiswal2905/Data-Driven-Order-Analytics-System-Using-MySQL-Python-SQLAlchemy
A MySQL-Python analytics project that builds a structured sales database, connects via SQLAlchemy, and runs SQL queries to analyze product performance, regional trends, and profitability. Demonstrates database design, Python-SQL integration, and business insight generation.
YukiP7/Retail_Sales_Analysis
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.