There are 59 repositories under kaggle-competition topic.
快速上手Ai理论及应用实战:基础知识、ML、DL、NLP-BERT、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
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
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
Pytorch starter kit for Kaggle competitions
4th Place Solution for Mercari Price Suggestion Competition on Kaggle using DeepFM variant.
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
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.
1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
Kaggle Segmentation Challenge
Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
Kaggle을 처음 접하는 사람들을 위한 문서
Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge
My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton
Open solution to the Toxic Comment Classification Challenge
2nd Place Solution in Kaggle Airbnb New User Bookings competition
Source code for the paper A Memory-Augmented Neural Model for Automated Grading
The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Tensorflow implementation : U-net and FCN with global convolution
Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.
DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery
国内首个迁移学习赛题 **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)
Kaggle | 21st place solution for TGS Salt Identification Challenge
For someone who is new at Kaggle
Kaggle | 14th place solution for TGS Salt Identification Challenge
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
Multi-class malware classification using Deep Learning