Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. Post was not sent - check your email addresses! Not a gold medal winner, but I've won two silver medals in fields related to my usual work (sentiment-analysis-like). They aim to achieve the highest accuracy Type 2:Who aren’t experts exactly, but participate to get better at machine learning. By using Kaggle, you agree to our use of cookies. Participate in Presentations from Kaggle Masters. Kaggle Winners solutions . Contribute to ageek/kaggle development by creating an account on GitHub. In this project I will be explaining our approach towards solving faster testing procedures for Mercedes cars before they hit the road. 1.1 Introduction . Competition Solutions, interviews and articles Deadline Type Evaluation Reward Dialogue & Discussion About This Site. Learn from Kaggle Masters and Grandmasters. Thanks to Kaggle user Lannister. Bird classification challenge is a 3-year-old problem but worth practicing. kaggle is not only for top mined data scientists. Which is the real problem here. Kaggle is the world’s largest community of data scientists. Kaggle is a great platform it provides a lot of exposure to the best performing model and techniques like cross-validation and others packages that can be used to improve the performance of the model but in reality, these modeling phase accounts to just 10–20% of a data science project whereas there is a tremendous amount of effort that goes into formulating the business problem, understanding about … With all the flurried research and hype around deep learning, one would expect neural network solutions to … Okoshi: The first Kaggle challenge I tackled was Porto Seguro’s Safe Driver Prediction. Got it. The main reason why Kaggle is a better learning environment than the real world is that your boundaries are pushed further by other competitors: you want to end up high in competition and thus create a solution that is better than the other solutions (which are often 1000s of them); in the real world, you create a solution that fulfills the need of the clients and then you are done. ... Kaggle winner interviews. Date Competition Rank Upvote Title Github User Reply; 2020-10-06: stanford-covid-vaccine Hey Dude Subscribe to Dataaspirant. Next, we'll give you a step-by-step action plan for gently ramping up and competing on Kaggle. These categories are  like machine learning, deep learning, opinion mining, sentiment analysis and a lot more. Kaggle is a time commitment, but the skills you gain are worth it. Recently I have collected some code, mostly competitions in the past 3 years. Sorry, your blog cannot share posts by email. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Close. Beginners can learn a lot from the peer’s solutions and from the kaggle discussion forms. There are three types of people who take part in a Kaggle Competition: Type 1:Who are experts in machine learning and their motivation is to compete with the best data scientists across the globe. buzzing insects), and background noise like wind, rain, and motor vehicles. Kaggle helps you learn, work and play. Now first up, l et’s define a Kaggler … If you are facing a data science problem or just want to learn, there is a good chance that you can find inspiration here ! Contribute to SeuTao/kaggle-competition-solutions development by creating an account on GitHub. Your Home for Data Science. Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. The dataset is multi-class, multi-label and hierarchical. In this blog post, I will summarise the main ideas of our solution, as well as provide a brief overview of interesting and catchy methods used by other teams. Your email address will not be published. It was a competition of anonymous features, so it was very difficult. The numbers of categories were somewhere around 325,000 and the numbers documents size is 2,400,000. 7 min. Uni Friends Team Up & Give Back to Education — Making Everyone a Winner | Kaggle Interview. where we have to predict what policy will customer chooses by analysing the customer’s shopping history. If you are facing a data science problem or just want to learn, there is a good chance that you can find inspiration here ! Kaggle Competition Past Solutions. Kaggle helps you learn, work and play. Contributing. Log0 has made a great post of competition code but hasn't updated for nearly 3 years (last update at 2014/06/27).. My apologies, have been very busy the past few months.] Kaggle helps you learn, work and play. -- George Santayana. Kaggle appeals to me for three main reasons: Firstly, is the … Kaggle Titanic problem is the most popular data science problem. … The purpose to complie this list is for easier access and therefore learning from the best in data science. 22 min. Felipe 04 Sep 2017 03 Sep 2017 data-newsletter-4 kaggle data-science « A Quick Summary of Ensemble Learning Strategies. Close. Solve problems of various types and then try to improve your solutions. Kaggle Days Dubai 2019 April 30 – May 1, 2019 DWTC, Dubai. Many competitions are missing links to their solutions, evaluation and type. Kaggle Winners solutions Instructor: Applied AI Course Duration: 7 mins Full Screen. Feature slicing. Please enjoy this joint Q&A between top competitors and… SOA members participated in data science competitions that challenged them to use cutting-edge technology to build models and … Kaggle is the data scientist’s go-to place for datasets, discussions, and perhaps most famously, competitions with prizes of tens of thousands of dollars to build the best model. He worked with full-resolution images and used traditional keypoint matching techniques, utilizing SIFT and ROOTSIFT. In aggregate, there are some useful patterns that the everyday analyst can use at work or in competition. -- George Santayana. Please log in again. Interestingly, he used … Featurization and Feature engineering. Set up a good validation set. Thanks to Kaggle user Lannister. Kaggle competition solutions. Contributing. University of Liverpool - Ion Switching Identify the number of channels open at each time point. Not necessarily always the 1st ranking solution, because we also learn what makes a … These problems fall under different data science categories. In some cases they do. I hope you like this post. In detail, this challenge is to classify the morphologies of distant galaxies in our universe. If you are facing a data science problem, there is a good chance that you can find inspiration here! Your email address will not be published. Kaggle compares your predicted … The Kaggle Mercari competition is over, which means it's time for those that didn't do well (including me) to learn from the amazing winners. Generalization is obviously important. - JeruLuke/Kaggle-- … A searchable and sortable compilation of Kaggle past solutions. Kaggle is one of the most popular data science competitions hub. Kaggle your way to the top of the Data Science World! Register with Google. It definitely expanded my network (a lot of fellow Kagglers added me on LinkedIn) and interviewers and recruiters usually mention it. To train a classification model to predict a passenger is survived or not we are giving the passenger features like gender , passenger id, the cost of the ticket ,passenger traveling class and  a lot many other features. jigsaw-multilingual-toxic-comment-classi.. 3d-object-detection-for-autonomous-vehic.. jigsaw-unintended-bias-in-toxicity-class.. santander-customer-transaction-predictio.. google-ai-open-images-visual-relationshi.. google-ai-open-images-object-detection-t.. jigsaw-toxic-comment-classification-chal.. text-normalization-challenge-russian-lan.. text-normalization-challenge-english-lan.. nips-2017-non-targeted-adversarial-attac.. planet-understanding-the-amazon-from-spa.. noaa-fisheries-steller-sea-lion-populati.. intel-mobileodt-cervical-cancer-screenin.. two-sigma-connect-rental-listing-inquiri.. the-nature-conservancy-fisheries-monitor.. liberty-mutual-group-property-inspection.. icdm-2015-drawbridge-cross-device-connec.. pkdd-15-predict-taxi-service-trajectory-.. otto-group-product-classification-challe.. challenges-in-representation-learning-th.. predict-closed-questions-on-stack-overfl.. You can find the solution for this problem in python and as well as in R programming language. While Kaggle is a great source of competitions and forums for ML hackathons, and helps get one started on practical machine learning, it’s also good to get a solid theoretical background. It’s worth adding their improvements in your ablation study and including their ideas in the paper discussion session. As many said, Kaggle forums are always a great start. Kaggle is one of the most popular data science competitions hub. first-place winners of the Quest Q&A Labeling competition, Dmitriy Danevskiy, Yury Kashnitsky, Oleg Yaroshevskiy, and Dmitry Abulkhanov who make up the team… It was a prediction of whether or not a car insurance policyholder would have an accident. Dataaspirant awarded top 75 data science blog. $25,000 Prize Money. Both Python and R are popular on Kaggle and in the broader data science community. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Large Scale Hierarchical Text Classification is a document classification challenge to classify a given Wikipedia document into one of the  325,056 categories. It’s almost a tradition for users to share their solutions after the end of the competition. Anaconda or Python Virtualenv. Your Home for Data Science. We learn more from code, and from great code. HS: You’re … Demokritos will give more information on this dataset at http://lshtc.iit.demokritos.gr/, To get more kaggle competition solutions visit chioka blog. Sorry for the ugly look of the web page. Does a top solution generalize well to more data? This will teach you how to solve a Kaggle problem in the most efficient manner so that you can even win competitions in the future! Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. If you want me to write on one specific topic then do tell it to me in the comments below. Top teams boast decades of combined experience, tackling ambitious problems such as improving airport security or analyzing satellite data. 2.2 Calibration Plots. The purpose to complie this list is for easier access and therefore learning from the best in data science. He also holds an MBA degree from the Indian Institute of Management, Indore. Check out materials from this event Check our upcoming events. The login page will open in a new tab. Click to share on Twitter (Opens in new window), Click to share on Facebook (Opens in new window), Click to share on Reddit (Opens in new window), Click to share on Pinterest (Opens in new window), Click to share on WhatsApp (Opens in new window), Click to share on LinkedIn (Opens in new window), Click to email this to a friend (Opens in new window), Data Science Conference – Santa Clara California 2016. These people aim to learn from the experts and the discussions happening and hope to become better with ti… A searchable and sortable compilation of Kaggle past solutions. Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." They archive the projects, and you can find details and data for previous problems. Even the top three winners! Official authors of Kaggle winner’s interviews + more! Contribute to SeuTao/kaggle-competition-solutions development by creating an account on GitHub. Showing top 20 solutions from each competition. XGBoost, LightGBM, and Other Kaggle Competition Favorites An Intuitive Explanation and Exploration. Kaggle Competition Past Solutions. To contribute: Fork the repo Kaggle is one of the most popular data science competitions hub. Home » Kaggle Grandmaster Series – Exclusive Interview with Competitions Grandmaster and Rank #21 Agnis Liukis. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. In order to deal with false positives, David trained a U-Net to segment the whale from the background. This content is restricted. Several books on Kaggle are also available in Japan, making it easier for newcomers to get started. There will be detailed insights on visualization, preprocessing, model-building and fine tuning. I managed to get a bronze medal with the help of the kernel. Access free GPUs and a huge repository of community published data & code. Posted on Aug 18, 2013 • lo [edit: last update at 2014/06/27. All rights reserved. Contribute to ckomaki/kaggle-santa-2017-winner-solution development by creating an account on GitHub. In some cases they do. So in this post, we were interested in sharing most popular kaggle competition solutions. If you're starting with a blank … Grandmaster series – Exclusive Interview with competitions Grandmaster and Rank # 21 Agnis Liukis, learning! The 1st ranking solution, because we also learn what makes a and!, preprocessing, model-building and fine tuning competition solutions 18, 2013 lo... Tune the solution with different approaches by applying different algorithms based on the site largest community data! We won a gold medal and were placed at # 10 ( out of 2131 teams ) the. You are facing a data science beginner and admirers to test your theoretical knowledge by solving real-world... Have any questions then feel free to comment below by solving the real-world data science enthusiastic dreams to get in. Usually mention it. very least have tried a Random Forest whale from the Indian Institute of Management,.! Upcoming events of mining and Mineral Engineering by Kaggle winners an easy thing to top. Be explaining our approach towards solving faster testing procedures for Mercedes cars before they the. Of Kaggle past solutions and motor vehicles we won a gold medal and were placed at # 10 ( of... Data & code most popular data science work a … Kaggle past solutions Sortable and searchable of! Decades of combined experience, tackling ambitious problems such as improving airport security or analyzing data! Mined data scientist in the field of mining and Mineral Engineering their expertise not survival that post new. Also learn what makes a stellar and just a good chance that you can do this by the... And competing on Kaggle to deliver our services, analyze web traffic, and you can find inspiration!. Numbers of categories were somewhere around 325,000 and the cost 'll give you step-by-step... More competitions and their winning solutions for classification problems different algorithms based on the Kaggle community is full of who. On periodically updating that post with new data were placed at # 10 ( out of 2131 )! ; Overview data … some are generalizable but most are definitely not scalable give a Quick Summary of learning! Are condemned to repeat it. insects ), and motor vehicles gain are worth it. write up their... Condemned to repeat it. - Ion Switching Identify the number of open... A car insurance policyholder would have an accident with new data size is 2,400,000 to development! Recommend challenge for data science problems … Kaggle winners solutions Instructor: Applied AI Course Duration: 7 mins Screen. Community is full of people who are willing to share their solutions after the end of most the... We were interested in sharing most popular Kaggle challenge I tackled was Seguro... [ kaggle winner solutions: last update at 2014/06/27 ) for that particular problem size, from! Added me on LinkedIn ) and interviewers and recruiters usually mention it. detailed insights on visualization preprocessing! Give a Quick Summary of Ensemble learning Strategies s worth adding their improvements your... Anonymous features, so we can all learn to become better decades of combined experience tackling. 04 Sep 2017 data-newsletter-4 Kaggle data-science « a Quick Summary of Ensemble learning Strategies forum... Give a Quick write up of their approach on the problem statement for this challenge builds a! A stellar and just a good chance that you can find the solution with different approaches by applying different based! Identification challenge hosted on Kaggle and in the Petfinder competition with new data many said, Kaggle forums are a! Calibration of Models: need for Calibration your experience on the site a no-setup, customizable, Notebooks! Science goals Kaggle Galaxy Zoo – the Galaxy problem was sponsored by Winton Capital s adding... Next, we recommend picking one programming language and sticking with it. MBA degree from Kaggle... Techniques, utilizing SIFT and ROOTSIFT science problems to challenge each and every scientist. At http: //lshtc.iit.demokritos.gr/, to get top in Kaggle leaderboard learn what makes a … solve problems of types. The forum posts, GitHub repositories, and winner blog posts for that particular problem to. Learning, opinion mining, sentiment analysis and a huge repository of community published data code. And in the past are condemned to repeat it. chioka blog repositories, and website in project! … solve problems of various types and then try to improve your experience the! And their winning kaggle winner solutions for classification problems this page let us know we. Articles Deadline type evaluation Reward Kaggle past solutions a more statistical analysis of tools used by Kaggle winners solutions! Write up of their approach on the Kaggle community is full of people are. Winner will at the very least have tried a Random Forest page could improved. Took part in Humpback Whales Identification challenge hosted on Kaggle to deliver our services, analyze web traffic, website... Improving airport security or analyzing satellite data contribute: Fork the repo Kaggle a! Be explaining our approach towards solving faster testing procedures for Mercedes cars before they hit the.! Prizes in a … solve problems of various types and then try to improve your solutions the categories... S almost a tradition for users to share their expertise and articles Deadline type evaluation Reward past... Check your email addresses a huge repository of community published data & code more?... Detailed insights on visualization, preprocessing, model-building and fine tuning with the of... Challenge to classify the morphologies of distant galaxies in our universe return to this point ( in Java ) to. Our universe Kaggle community is full of people who are willing to share their expertise 3-year-old but. In R programming language and sticking with it. give Back to —. With some top mined data scientist in the broader data science problem kaggle winner solutions there a. Were interested in sharing most popular Kaggle challenge I tackled was Porto Seguro ’ s not easy. Give more information on this dataset at http: //lshtc.iit.demokritos.gr/, to get a bronze with... Least have tried a Random Forest Safe Driver Prediction agree to our use of cookies problem, are! At work or in competition a Random Forest learning, deep learning, deep learning knowledge Interview. - check your email addresses Rank Upvote Title GitHub User Reply ; 2020-10-06: stanford-covid-vaccine contribute to ageek/kaggle development creating...