#Kaggle-competition
Showing 42 of 42 repositories tagged #kaggle-competition, ranked by stars
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
https://www.kaggle.com/c/humpback-whale-identification
本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
阿水的数据竞赛开源分支
Pytorch starter kit for Kaggle competitions
This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊
Kaggle을 처음 접하는 사람들을 위한 문서
Open solution to the Toxic Comment Classification Challenge
🤖 AI Agent-driven Kaggle competition workflow. Battle-tested patterns for score stabilization, submission troubleshooting, kernel workflows, and spec-driven development.
Tensorflow implementation : U-net and FCN with global convolution
AI-driven initiative to assist hospitals and rural clinics in early detection of Diabetic Retinopathy, supporting accessible eye care for all through open healthcare innovation.
DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery
For someone who is new at Kaggle
国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)
Wheat Detection challenge on Kaggle
Kaggle | 21st place solution for TGS Salt Identification Challenge
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
Kaggle | 14th place solution for TGS Salt Identification Challenge
Multi-class malware classification using Deep Learning
Access data, statistics, and visualizations for New York's electricity grid.
📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
Open solution to the Airbus Ship Detection Challenge
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Selection of some interesting Kaggle Kernels
Predict the toxicity rating of comment made by the user.
Repository for source code of kaggle competition: House Prices: Advanced Regression Techniques
Facial Expression Recognition
Kaggle Kernels (Python, R, Jupyter Notebooks)
M5 Uncertainty kaggle competition, 3rd place solution
Stable Diffusion with Text-to-Image and Image-to-Text
Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation
🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Windows PE structures, disassembly scripts and machine code（“2015微软恶意软件分类挑战赛” - 使用机器学习基于Windows PE结构、反汇编和机器代码对恶意软件进行分类）
This repo contains 4 different projects. Built various machine learning models for Kaggle competitions. Also carried out Exploratory Data Analysis, Data Cleaning, Data Visualization, Data Munging, Feature Selection etc
Summary of my projects on kaggle
Data Analysis using datasets from Kaggle
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
Predict if a driver will file an insurance claim next year. (Kaggle Competition)