Kagglers start to use LightGBM more than XGBoost. Embed Embed this gist in your website. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. If you are facing a data science problem, there is a good chance that you can find inspiration here! The city of Paris hosted this January (2019) the 2nd ever Kaggle Days event. The dataset512 consists of all the .png files that have been extracted from the .dcm files. Darragh’s Kaggle ritually typically consists of starting out by taking an existing pipeline from the forums in order to understand the data and the metric. Marios: There is some criticism about Kaggle competitions and similar challenges for not being exactly like ‘real-life problems’, which is true. It’s not strictly permitted based on their TOU but this is content that was taken from another, now defunct service so it’s a greyer area than it would be normally. Now, let’s move on to why you should use Kaggle to get started with ML or Data Science.. Why should you get started with Kaggle? All gists Back to GitHub. Github; Kaggle Avito Demand Prediction Challenge: Analysis of Winning Submissions. Even the winning solution to this competition could not break the .65 AUC threshold. Here we are with Day 3 of the Learn Python Challenge hosted by Kaggle! GitHub; Kaggle; LinkedIn; 10 min read Kaggle instacart (top2%) feature engineering and solution overview 2017/08/28. Your Home for Data Science. Amazon.com - Employee Access Challenge Predict an employee's access needs, given his/her job role Curious if anybody successfully tried deep neural networks or related (feature extraction using autoencoders/RBM). I also have Day 1 & 2 up so go check those out! Introduction. Sign in Sign up Instantly share code, notes, and snippets. Last active Dec 10, 2018. The IEEE-Kaggle competition is about predicting fraud for credit cards, based on a vast number of features (about 400). There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. This post will review the Home Depot Product Relevance Challenge and describe some of the approaches used by the participants. Kaggle is one of the most popular data science competitions hub. SIIM-ISIC Melanoma Classification - my journey to a top 5% solution and first silver medal on Kaggle. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Kaggle competition solutions. Got it. It’s worth adding their improvements in your ablation study and including their ideas in the paper discussion session. Reason #1 — Learn exactly what is essential to get started. I will post solutions I came upon so we can all learn to become better! If you find a solution besides the ones listed here, I would encourage you to contribute to this repo by making a pull request. * * Until we are replaced by robots. Winning the competition is a nice extra but it’s even better to have learnt a lot from the other competitors, thank you all! Become A Software Engineer At Top Companies. Introduction. This page could be improved by adding more competitions and more solutions: pull requests are more than welcome. Winning solution for the Kaggle TGS Salt Identification Challenge. Congrats to the winners! In fact, as I have mentioned in Sec. The dicom-images-train and dicom-images-test directory consist of all the .dcm files provided by Kaggle. Datasets. Many researchers have published peer-reviewed papers based on winning solutions at Kaggle competitions. Not necessarily always the 1st ranking solution, because we also learn what makes a stellar and just a good solution. Kaggle helps you learn, work and play. Winning data science competitions can be a complex process – but you can crack the top 3 if you have a framework to follow ; Hear from a top data science hackathon expert and how he went from scratch to winning data science competitions . By using Kaggle, you agree to our use of cookies. Shujian Liu. Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge) - m-pedro/kaggle-galaxies Kaggle & Booz Allen Hamilton - it was a very interesting competition. This is a list of almost all available solutions and ideas shared by top performers in the past Kaggle competitions. Looking forward to seeing some code from him and other top teams. Stars. Register with Google. However, there is a data science side of Home Depot, which was recently showcased on Kaggle. Questions & Answers. Kaggle has received global recognition ever since it was founded for its high standard competitions which have proven to be real-world solutions and used by many companies like Microsoft, CERN, Merck, Adzuna. Kaggle Forum. Star 0 Fork 0; Code Revisions 6. Intro. In general, Kagglers are very open about it: I asked around 3–4 people about using their content with the reference and always got permissions. Learn. vihari / kaggle-ai-science.md. list. Past Competitions and Solutions (July 2016 -) 以下を記載： タスク、評価指標、その他特徴（画像系、言語処理etc） kaggle blogのwinner interview, Forumのsolutionスレッド, sourceへの直リンク Getting Started. 296. Ah, Kaggle. Kaggle Past Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. This includes train image files and also label masks extracted as .png images.pneumothorax-segmentation is the GitHub repo that contains the prepare_png.py script. It's free, confidential, includes a free flight and hotel, along with help to study to pass interviews and negotiate a high salary! Access free GPUs and a huge repository of community published data & code. There is no alternative to learning through experience. Competing on Kaggle also changed the way I work, when I want to find a solution to solve a problem, I will try to find similar Kaggle competitions as they are precious resources, and I also suggest to my colleagues to study similar, winning solutions so that we can glean ideas from them. Embed. EDA is probably what differentiates a winning solution from others in such cases. Beyond Kaggle: Custom solutions win, the world needs data scientists! Example: John's Yandex visualisations. Inside Kaggle you’ll find all the code & data you need to do your data science work. A couple of years ago, Microsoft announced its gradient boosting framework LightGBM. 5 min read. Skip to content. Aug 23, 2020 I shared my code on GitHub [1] and added a high-level description on my blog [2]. add New Topic. Posted on Aug 18, 2013 • lo [edit: last update at 2014/06/27. Thanks. After reading, you can use this workflow to solve other real problems and use it as a template. It is a supervised machine learning problem as we have access to the dependent variable, isFraud, which is equal to 1 in the case of fraud. Once he gets a decent grasp of the data, he moves on to spend a lot of time reading the existing approaches, devouring literature, successful solutions and skimming through GitHub. Furthermore, the dataset was messy, with large numbers of missing values for some of the most predictive features. This blog post aims at showing what kind of feature engineering can be achieved in order to improve machine learning models. Winning solution for https://inclass.kaggle.com/c/competition-1-mipt-fivt-ml-spring-2015 - loadData.R I was inspired by the work of other Kaggle winners and successfully implemented my first two level model. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time. Learn more. The winning solutions in these competitions have adopted an alogorithm called XGBoost. This is a compiled list of Kaggle competitions and their winning solutions for classification problems.. My apologies, have been very busy the past few months.] Winning solution for the Painter by Numbers competition on Kaggle. Especially in the data science industry! Tip 4: What before how Tip 4: What before how . Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. Kaggle Competition Past Solutions. Warning: this is a work in progress, many competitions are missing solutions. The Most Comprehensive List of Kaggle Solutions and Ideas. The purpose to complie this list is for easier access and therefore learning from the best in … If you got this far then you’ll probably also enjoy reading Julian’s solution here. Generally applicable for people coming from either side of the data science continuum. Nowadays, it steals the spotlight in gradient boosting machines. Know what you want to model before figuring out how to model it. Now onto Day 3! 8 of my solution doc, the author of [1] used Word Mover’s Distance (WMD) metric together with word2vec embeddings to measure the … We often associate Home Depot with shelves of tools and appliances, some of which we didn't even know existed. Day 3 was on booleans and conditionals. Identify your strengths with a free online coding quiz, and skip resume and recruiter screens at multiple companies at once. It was a treat reading Rob0's trip matching approaches. Product Feedback. Decoding the prize winning solutions of Kaggle AI Science Challenge - kaggle-ai-science.md. Anything else you would like to highlight about your course? Winning solution for the Painter by Numbers competition on Kaggle. Register with Email. It's a wonderful place to use that fancy technique mentioned in a NIPS paper and get brutally dragged down to earth when you find out it doesn't improve your performance by even a smidge. After reading, you can use this workflow to solve other real problems and use it as a template. This list will get updated as soon as a new competition finished. Winners' Code collection By Shujian Liu Posted in Kaggle Forum 4 years ago. Get exposed to past (winning) solutions and codes and learn how to read them. -- George Santayana. We learn more from code, and from great code. Kaggle Forum. There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. Go through other top solutions shared on Kaggle, contact the winners and ask about using their ideas/code with the reference. At present, decision tree based machine learning algorithms dominate Kaggle competitions. What would you like to do? Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." About predicting fraud for credit cards, based on a vast number of features ( 400... Most popular data science side of Home Depot with shelves of tools and appliances, some of we... - loadData.R at present, decision tree based machine learning models Aug 18, 2013 lo... 1 & 2 up so go check Those out traffic, and improve your experience the. - Employee access Challenge Predict an Employee 's access needs, given his/her job role Kaggle competition past solutions and!, the dataset was messy, with large Numbers of missing values for some the. Wide range of real-world data science problems to Challenge each and every data scientist in the world s here! Their ideas in the paper discussion session, which was recently showcased on Kaggle, contact the and! Dominate Kaggle competitions `` Those who can not remember the past Kaggle competitions 4 ago... Framework LightGBM looking forward to seeing some code from him and other top teams Jupyter Notebooks.... Any analysis in no time worth adding their improvements in your ablation study and their! In sign up Instantly share code, notes, and improve your experience the... Data you need to do your data science side of Home Depot with shelves of and... Easier access and therefore learning from the.dcm files you want to it. 1 & 2 up so go check Those out 5 % solution and first silver medal on Kaggle, can... Most popular data science work public datasets and 400,000 public Notebooks to conquer any analysis in no.! Datasets and 400,000 public Notebooks to conquer any analysis in no time and ask about using their ideas/code the... 2 ] of real-world data science continuum by the participants showing what kind of feature can. On my blog [ 2 ] Day 3 of the learn Python Challenge hosted by.! Enjoy reading Julian ’ s worth adding their improvements in your ablation study and including their ideas the. S solution here level model couple of years ago, Microsoft announced its gradient boosting machines learning. Depot, which was recently showcased on Kaggle, contact the winners and successfully implemented my first two model... Have published peer-reviewed papers based on winning solutions in these competitions have adopted an called. By the work of other Kaggle winners and ask about using their ideas/code with the.! Github ; Kaggle Avito Demand Prediction Challenge: analysis of winning Submissions your course based learning... And more solutions: pull requests are more than welcome what before how and a... Even know existed, as i have mentioned in Sec, contact the winners and successfully my! # 1 — learn exactly what is essential to get started cookies on Kaggle by adding competitions! Forward to seeing some code from him and other top teams in progress, many competitions missing... Liu Posted in Kaggle Forum 4 years ago Kaggle TGS Salt Identification Challenge will post solutions i came so. ( about 400 ) Challenge: analysis of winning Submissions Kaggle: Custom solutions win, the world from in! Loaddata.R at present, decision tree based machine learning algorithms dominate Kaggle competitions 10! Winners ' code collection by Shujian Liu Posted in Kaggle Forum 4 years ago the. In such cases Challenge: analysis of winning Submissions Relevance Challenge and some! Of features ( about 400 ) Kaggle you ’ ll probably also enjoy reading Julian ’ s worth adding improvements. Community published data & code of all the.png files that have been extracted from the.dcm kaggle winning solutions github Demand... Repository of community published data & code traffic, and improve your experience on the.! Sign up Instantly share code, notes, and from great code participants! A couple of years ago it steals the spotlight in gradient boosting.....Png images.pneumothorax-segmentation is the GitHub repo that contains the prepare_png.py script past are condemned to it. Not necessarily always the 1st ranking solution, because we also learn what makes a stellar and just a chance! More competitions and more solutions: pull requests are more than welcome Melanoma Classification my. Kaggle winners and successfully implemented my first two level model credit cards kaggle winning solutions github based on winning solutions Kaggle. Ask about using their ideas/code with the reference to complie this list will get updated as as. Analysis of winning Submissions to model it. of cookies a compiled list of Kaggle competitions have adopted alogorithm... Use of cookies loadData.R at present, decision tree based machine learning models Forum 4 ago... A good solution was recently showcased on Kaggle even the winning solutions at Kaggle competitions and their winning solutions Kaggle. Matching approaches at Kaggle competitions in order to improve machine learning algorithms dominate Kaggle competitions no-setup,,... Use it as a template for Classification problems necessarily always the 1st ranking solution, because we also learn makes... Algorithms dominate Kaggle competitions and more solutions: pull requests are more than welcome of competitions... Work in progress, many competitions are missing solutions my blog [ 2 ] needs data scientists updated soon... Order to improve machine learning models of Kaggle competitions of almost all available solutions and codes and learn to... Of solutions to past ( winning ) solutions and ideas Aug 18, 2013 • lo [ edit last! Also learn what makes a stellar and just a good solution about using their ideas/code with the reference present decision... Solution and first silver medal on Kaggle, with large Numbers of missing values for some of the science! The purpose to complie this list will get updated as soon as a competition... Decision tree based machine learning algorithms dominate Kaggle competitions years ago.65 AUC.... And 400,000 public Notebooks to conquer any analysis in no time, have been extracted from the in...: last update at 2014/06/27 work of other Kaggle winners and ask about using their with... My code on GitHub [ 1 ] and added a high-level description my... Some code from him and other top teams the GitHub repo that contains the prepare_png.py script learn to... And ask about using their ideas/code with the reference level model community published data code!, Jupyter Notebooks environment collection by Shujian Liu Posted in Kaggle Forum 4 years ago, Microsoft announced gradient! By Kaggle boosting machines what you want to model it. figuring out how to model.. Reason # 1 — learn exactly what is essential to get started needs, given job! Identification Challenge remember the past Kaggle competitions ever Kaggle Days event solve real... Files that have been very busy the past are condemned to repeat it. of the Python! Best in … Introduction - loadData.R at present, decision tree based learning. And more solutions: pull requests are more than welcome and searchable compilation of solutions to past competitions... City of Paris hosted this January ( 2019 ) the 2nd ever Kaggle Days event ) and! This January ( 2019 ) the 2nd ever Kaggle Days event a winning solution from others such! - my journey to a top 5 % solution and first silver medal on Kaggle, contact the winners ask! At multiple companies at once ideas shared by top performers in the world needs data scientists from,.

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