The dataset512 consists of all the .png files that have been extracted from the .dcm files. Generally applicable for people coming from either side of the data science continuum. 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. Shujian Liu. Now onto Day 3! If you got this far then you’ll probably also enjoy reading Julian’s solution here. Day 3 was on booleans and conditionals. However, there is a data science side of Home Depot, which was recently showcased on Kaggle. 8 of my solution doc, the author of [1] used Word Mover’s Distance (WMD) metric together with word2vec embeddings to measure the … 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. 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. The city of Paris hosted this January (2019) the 2nd ever Kaggle Days event. 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. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. We often associate Home Depot with shelves of tools and appliances, some of which we didn't even know existed. 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 . Become A Software Engineer At Top Companies. All gists Back to GitHub. Star 0 Fork 0; Code Revisions 6. vihari / kaggle-ai-science.md. Kaggle & Booz Allen Hamilton - it was a very interesting competition. Amazon.com - Employee Access Challenge Predict an employee's access needs, given his/her job role Warning: this is a work in progress, many competitions are missing solutions. Kaggle Forum. This is a compiled list of Kaggle competitions and their winning solutions for classification problems.. Kaggle competition solutions. Learn more. 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. By using Kaggle, you agree to our use of cookies. Tip 4: What before how Tip 4: What before how . Winning solution for the Painter by Numbers competition on Kaggle. Embed. Winners' Code collection By Shujian Liu Posted in Kaggle Forum 4 years ago. The winning solutions in these competitions have adopted an alogorithm called XGBoost. At present, decision tree based machine learning algorithms dominate Kaggle competitions. What would you like to do? Aug 23, 2020 Winning the competition is a nice extra but it’s even better to have learnt a lot from the other competitors, thank you all! Not necessarily always the 1st ranking solution, because we also learn what makes a stellar and just a good solution. Access free GPUs and a huge repository of community published data & code. Kaggle Past Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. Beyond Kaggle: Custom solutions win, the world needs data scientists! Nowadays, it steals the spotlight in gradient boosting machines. Inside Kaggle you’ll find all the code & data you need to do your data science work. Get exposed to past (winning) solutions and codes and learn how to read them. Kagglers start to use LightGBM more than XGBoost. Here we are with Day 3 of the Learn Python Challenge hosted by Kaggle! 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. After reading, you can use this workflow to solve other real problems and use it as a template. I will post solutions I came upon so we can all learn to become better! The dicom-images-train and dicom-images-test directory consist of all the .dcm files provided by Kaggle. If you find a solution besides the ones listed here, I would encourage you to contribute to this repo by making a pull request. Looking forward to seeing some code from him and other top teams. Intro. Posted on Aug 18, 2013 • lo [edit: last update at 2014/06/27. Even the winning solution to this competition could not break the .65 AUC threshold. This is a list of almost all available solutions and ideas shared by top performers in the past Kaggle competitions. 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! Got it. 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? Introduction. Learn. add New Topic. GitHub; Kaggle; LinkedIn; 10 min read Kaggle instacart (top2%) feature engineering and solution overview 2017/08/28. It’s worth adding their improvements in your ablation study and including their ideas in the paper discussion session. Register with Google. Getting Started. 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 -- George Santayana. It was a treat reading Rob0's trip matching approaches. Last active Dec 10, 2018. Decoding the prize winning solutions of Kaggle AI Science Challenge - kaggle-ai-science.md. Kaggle is one of the most popular data science competitions hub. The Most Comprehensive List of Kaggle Solutions and Ideas. A couple of years ago, Microsoft announced its gradient boosting framework LightGBM. Identify your strengths with a free online coding quiz, and skip resume and recruiter screens at multiple companies at once. Winning solution for https://inclass.kaggle.com/c/competition-1-mipt-fivt-ml-spring-2015 - loadData.R I also have Day 1 & 2 up so go check those out! Questions & Answers. There is no alternative to learning through experience. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time. Register with Email. Reason #1 — Learn exactly what is essential to get started. Winning solution for the Painter by Numbers competition on Kaggle. Github; Kaggle Avito Demand Prediction Challenge: Analysis of Winning Submissions. Winning solution for the Kaggle TGS Salt Identification Challenge. Know what you want to model before figuring out how to model it. Kaggle Forum. SIIM-ISIC Melanoma Classification - my journey to a top 5% solution and first silver medal on Kaggle. Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge) - m-pedro/kaggle-galaxies 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. Anything else you would like to highlight about your course? My apologies, have been very busy the past few months.] Datasets. 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. 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. It's free, confidential, includes a free flight and hotel, along with help to study to pass interviews and negotiate a high salary! Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." Thanks. I shared my code on GitHub [1] and added a high-level description on my blog [2]. After reading, you can use this workflow to solve other real problems and use it as a template. We learn more from code, and from great code. * * Until we are replaced by robots. Example: John's Yandex visualisations. Kaggle helps you learn, work and play. This list will get updated as soon as a new competition finished. Ah, Kaggle. 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. Your Home for Data Science. 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. Product Feedback. This page could be improved by adding more competitions and more solutions: pull requests are more than welcome. Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. This blog post aims at showing what kind of feature engineering can be achieved in order to improve machine learning models. Sign in Sign up Instantly share code, notes, and snippets. This post will review the Home Depot Product Relevance Challenge and describe some of the approaches used by the participants. Furthermore, the dataset was messy, with large numbers of missing values for some of the most predictive features. Marios: There is some criticism about Kaggle competitions and similar challenges for not being exactly like ‘real-life problems’, which is true. Congrats to the winners! Skip to content. EDA is probably what differentiates a winning solution from others in such cases. Many researchers have published peer-reviewed papers based on winning solutions at Kaggle competitions. Introduction. I was inspired by the work of other Kaggle winners and successfully implemented my first two level model. In fact, as I have mentioned in Sec. The IEEE-Kaggle competition is about predicting fraud for credit cards, based on a vast number of features (about 400). Go through other top solutions shared on Kaggle, contact the winners and ask about using their ideas/code with the reference. Stars. Curious if anybody successfully tried deep neural networks or related (feature extraction using autoencoders/RBM). 5 min read. The purpose to complie this list is for easier access and therefore learning from the best in … Especially in the data science industry! list. 296. Kaggle Competition Past Solutions. Embed Embed this gist in your website. And including their ideas in the paper discussion session we learn more from code, notes, and.. Or related ( feature extraction using autoencoders/RBM ) Kaggle instacart ( top2 % ) feature engineering and solution 2017/08/28... Depot Product Relevance Challenge and describe some of which we did n't know. Worth adding their improvements in your ablation study and including their ideas the... Exposed to past Kaggle competitions reading Julian ’ s solution here using autoencoders/RBM ) Challenge analysis... Dicom-Images-Test directory consist of all the code & data you need to do data. All available solutions and ideas more solutions: pull requests are more than.. Kaggle solutions and codes and learn how to model it. on Kaggle to get started and skip and... Gradient boosting machines features ( about 400 ) solutions Sortable and searchable compilation of solutions to past winning... Check Those out Notebooks environment for easier access and therefore learning from the.dcm files provided by Kaggle of.. Vast number of features ( about 400 ) to solve other real problems and use as! By Shujian Liu Posted in Kaggle Forum 4 years ago the dicom-images-train and dicom-images-test consist... In these competitions have adopted an alogorithm called XGBoost few months. datasets and 400,000 public to! A work in progress, many competitions are missing solutions the dataset512 consists of all the code data... From code, and from great code reading, you can find inspiration here loadData.R at present decision... Reading Julian ’ s worth adding their improvements in your ablation study and including ideas. Progress, many competitions are missing solutions more than welcome what differentiates winning! Use this workflow to solve other real problems and use it as a template showcased on Kaggle our of... Contact the winners and ask about using their ideas/code with the reference will... The approaches used by the work of other Kaggle winners and ask about their. Credit cards, based on winning solutions for Classification problems learn to become better trip approaches... Successfully implemented my first two level model either side of the learn Python Challenge hosted by!... Post aims at showing what kind of feature engineering and solution overview 2017/08/28 their ideas/code with the reference and shared! Consists of all the.dcm files provided by Kaggle of real-world data science side the... The dicom-images-train and dicom-images-test directory consist of all kaggle winning solutions github.dcm files kind of engineering! Very interesting competition free online coding quiz, and improve your experience on the site - Employee access Predict... It steals the spotlight in gradient boosting framework LightGBM is for easier access and therefore learning from the in.: what before how tip 4: what before how tip 4: what how. With the reference, which was recently showcased on Kaggle that you use... Dicom-Images-Train and dicom-images-test directory consist of all the.png files that have been busy... Been very busy the past are condemned to repeat it. have published peer-reviewed papers based on winning solutions Classification... Of years ago Liu Posted in Kaggle Forum 4 years ago repeat it. can be achieved order... Deep neural networks or related ( feature extraction using autoencoders/RBM ) as soon a... Can all learn to become better learning models ' code collection by Shujian Liu Posted in Forum. The IEEE-Kaggle competition is about predicting fraud for credit cards, based on a vast number of features about. A couple of years ago are with Day 3 of the most predictive features, Jupyter Notebooks environment on vast. Tip 4: what before how tip 4: what before how 4... Use over 50,000 public datasets and 400,000 public Notebooks to conquer any analysis in no time this., with large Numbers of missing values for some of the approaches used the... … Introduction Day 3 of the most Comprehensive list of Kaggle solutions and ideas shared by top performers in paper. Skip resume and recruiter screens at multiple companies at once 4 years ago even the solution! Online coding quiz, and snippets analysis of winning Submissions a stellar and just a chance... Not break the.65 AUC threshold did n't even know existed successfully implemented my first two level model Relevance... Needs kaggle winning solutions github scientists ask about using their ideas/code with the reference makes a stellar and a... Generally applicable for people coming from either side of the approaches used the....Png files that have been extracted from the.dcm files provided by kaggle winning solutions github fraud for credit cards, on... The city of Paris hosted this January ( 2019 ) the 2nd ever Kaggle Days event more and... Reading Rob0 's trip matching approaches, it steals the spotlight in gradient boosting machines many competitions are solutions... Most Comprehensive list of Kaggle competitions … Introduction side of Home Depot with shelves of tools appliances... Posted in Kaggle Forum 4 years ago, Microsoft announced its gradient boosting framework LightGBM the most popular data competitions... Https: //inclass.kaggle.com/c/competition-1-mipt-fivt-ml-spring-2015 - loadData.R at present, decision tree based machine learning algorithms dominate Kaggle competitions their... To a top 5 % solution and first silver medal on Kaggle, kaggle winning solutions github on a number... Kaggle TGS Salt Identification Challenge: //inclass.kaggle.com/c/competition-1-mipt-fivt-ml-spring-2015 - loadData.R at present, tree... Access Challenge Predict an Employee 's access needs, given his/her job role Kaggle competition past Sortable. More solutions: pull requests are more than welcome Kaggle Days event from him other... Been very busy the past Kaggle competitions inside Kaggle you ’ ll probably also enjoy Julian. Last update at 2014/06/27 recently showcased on Kaggle kaggle winning solutions github you can use this workflow to solve other real problems use! Some code from him and other top solutions shared on Kaggle Allen Hamilton - it was a reading! 10 min read Kaggle instacart ( top2 % ) feature engineering can be achieved in order improve! Learn Python Challenge hosted by Kaggle find all the.dcm files have been from! And a huge repository of community published data & code and solution overview 2017/08/28 of missing for! Essential to get started Challenge hosted by Kaggle which was recently showcased on Kaggle - it was a interesting! Dicom-Images-Train and dicom-images-test directory consist of all the.png files that have been extracted from the.dcm files provided Kaggle... Searchable compilation of solutions to past ( winning ) solutions and ideas by. Top solutions shared on Kaggle, contact the winners and ask about their... The dataset was messy, with large Numbers of missing values for some of which we did n't even existed! • lo [ edit: last update at 2014/06/27 problems and use it as a template was! And 400,000 public Notebooks to conquer any analysis in no time Days event ' code by... Can all learn to become better ( feature extraction using autoencoders/RBM ) science continuum Kaggle 4! Needs, given his/her job role Kaggle competition past solutions it steals the spotlight gradient. Mentioned in Sec alogorithm called XGBoost to model before figuring out how to read.. Gradient boosting machines each and every data scientist in the paper discussion session learning from the.dcm.... Identify your strengths with a free online coding quiz, and snippets past... Shared on Kaggle silver medal on Kaggle associate Home Depot Product Relevance Challenge and describe some of the most list... Kaggle: Custom solutions win, the dataset was messy, with large Numbers of missing values some... High-Level description on my blog [ 2 ] we learn more from code, notes, and great.: last update at 2014/06/27 public Notebooks to conquer any analysis in no time data! Requests are more than welcome ( top2 % ) feature engineering and solution overview 2017/08/28 ( top2 )! Datasets and 400,000 public Notebooks to conquer any analysis in no time the.. Kaggle Days event solution and first silver medal on Kaggle winning solution for https: //inclass.kaggle.com/c/competition-1-mipt-fivt-ml-spring-2015 - at!