All rights reserved. Network with Data Science enthusiasts. Kaggle Winners solutions Instructor: Applied AI Course Duration: 7 mins Full Screen. Kaggle Past Solutions. With all the flurried research and hype around deep learning, one would expect neural network solutions to … Some are generalizable but most are definitely not scalable. Uni Friends Team Up & Give Back to Education — Making Everyone a Winner | Kaggle Interview. This content is restricted. Save my name, email, and website in this browser for the next time I comment. Meet top Kagglers. A searchable and sortable compilation of Kaggle past solutions. Does a top solution generalize well to more data? Kaggle Competition Past Solutions. kaggle is not only for top mined data scientists. He graduated from Bengal Engineering and Science University, Shibpur, in the field of Mining and Mineral Engineering. First, we recommend picking one programming language and sticking with it. About. These people aim to learn from the experts and the discussions happening and hope to become better with ti… 25 min. By using Kaggle, you agree to our use of cookies. If you want me to write on one specific topic then do tell it to me in the comments below. If you're starting with a blank … Most winner will at the very least have tried a Random Forest. In aggregate, there are some useful patterns that the everyday analyst can use at work or in competition. Kaggle appeals to me for three main reasons: Firstly, is the … One of the books — “Kaggle Start Book”, written and reviewed by mean my teammates in the Petfinder competition. Lessons from the Netflix Prize: Changing Requirements and Cost-Effectiveness » Related content. Next, we'll give you a step-by-step action plan for gently ramping up and competing on Kaggle. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. They archive the projects, and you can find details and data for previous problems. I collected the … This is a compiled list of Kaggle competitions and their winning solutions for classification problems.. 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. 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. Does a top solution generalize well to more data? In aggregate, there are some useful patterns that the everyday analyst can use at work or in competition. So in this post, we were interested in sharing most popular kaggle competition solutions. I plan on periodically updating that post with new data. Date Competition Rank Upvote Title Github User Reply; 2020-10-06: stanford-covid-vaccine The features are like customer Id, information about the customer and the information about the policy and the cost. Who always loves to fine tune the solution with different approaches by applying different algorithms based on the problem domain. Showing top 20 solutions from each competition. Thanks to Kaggle user Lannister. Anaconda or Python Virtualenv. Contribute to ckomaki/kaggle-santa-2017-winner-solution development by creating an account on GitHub. Wikipedia has created this very large dataset. These categories are  like machine learning, deep learning, opinion mining, sentiment analysis and a lot more. Posted on Aug 18, 2013 • lo [edit: last update at 2014/06/27. Research prediction Competition. At the end of most competitions the winners will give a quick write up of their approach on the Kaggle forum. Your Home for Data Science. Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. It will also offer freedom to data science beginners a way to learn how to solve the data science problems. Recently I have collected some code, mostly competitions in the past 3 years. Kaggle Titanic problem is the most popular data science problem. Kaggle is the world’s largest community of data scientists. This content is restricted. Contributing. We learn more from code, and from great code. Kaggle helps you learn, work and play. In detail, this challenge is to classify the morphologies of distant galaxies in our universe. Beginners can learn a lot from the peer’s solutions and from the kaggle discussion forms. It's also a great bargaining chip when negotiating my freelance rates ("How do we know you're worth it?" By solving this kind of problem you will get a chance to  utilise both single processing and machine learning concepts.Some of the trick challenges include in solving this problem were multiple simultaneously vocalizing birds, other sources of non-bird sound (e.g. This is the most recommend challenge for data science beginners. Contribute to SeuTao/kaggle-competition-solutions development by creating an account on GitHub. Dataaspirant awarded top 75 data science blog. 7 min. Several books on Kaggle are also available in Japan, making it easier for newcomers to get started. Close. Generalization is obviously important. At the end of most competitions the winners will give a quick write up of their approach on the Kaggle forum. Common methods for creating ensemble solutions include the statistical pooling techniques of "boosting" and "bagging" (Bauer and Kohavi, 1999;Hoch, 2015; Puurula et al., 2014). Kaggle competition solutions. Kaggle helps you learn, work and play. As many said, Kaggle forums are always a great start. - JeruLuke/Kaggle-- … Recently, my team took part in Humpback Whales Identification Challenge hosted on Kaggle. 17 min. A searchable compilation of Kaggle past solutions. Image Credit: kaggle: All-State Purchase Prediction. Interestingly, he used … Log0 has made a great post of competition code but hasn't updated for nearly 3 years (last update at 2014/06/27).. Miscellaneous Topics 2.1 Calibration of Models:Need for calibration . 2.3 Platt’s Calibration/Scaling. They archive the projects, and you can find details and data for previous problems. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Currently, I work for Rist, a Japanese IT company, where our team develops AutoML solutions that will be used internally. first-place winners of the Quest Q&A Labeling competition, Dmitriy Danevskiy, Yury Kashnitsky, Oleg Yaroshevskiy, and Dmitry Abulkhanov who make up the team… 1.1 Introduction . The challenges on Kaggle are hosted by real companies looking to solve a … Competition Solutions, interviews and articles Deadline Type Evaluation Reward 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. To get post updates in your inbox. 1.1 Introduction . Kaggle compares your predicted … He also holds an MBA degree from the Indian Institute of Management, Indore. I was using mostly self-made solutions up to this point (in Java). In order to deal with false positives, David trained a U-Net to segment the whale from the background. 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 … Examine trends in machine learning by analyzing winners' posts on No Free Hunch Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Which is the real problem here. Bird classification challenge is a 3-year-old problem but worth practicing. AIM: Tell us about your Kaggle journey. Kai Xin deleted the kaggle-monster2.png attachment from Kaggle (data science competition) Winners' Solutions Kai Xin sent Kaggle (data science competition) Winners' Solutions to the board Kai Xin archived Kaggle (data science competition) Winners' Solutions Congratulations to the (four!) About. I managed to get a bronze medal with the help of the kernel. 1.3 Fourier decomposition . It was a prediction of whether or not a car insurance policyholder would have an accident. This challenge builds upon a series of successful challenges on large-scale hierarchical text classification. All state purchase Prediction challenge is a tricky prediction problem. 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! The Data Science Bowl, presented by Booz Allen Hamilton and Kaggle, is the world’s largest data science competition focused on social good. Featurization and Feature engineering. David, now a Kaggle Grandmaster (Rank 12), was 4th on the Private LB and shared his solution as a post on Kaggle Discussions forum. Access free GPUs and a huge repository of community published data & code. More solutions and overviews here. My apologies, have been very busy the past few months.] Your Home for Data Science. Please Login. In case you are confused … There will be detailed insights on visualization, preprocessing, model-building and fine tuning. Not a gold medal winner, but I've won two silver medals in fields related to my usual work (sentiment-analysis-like). Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." To contribute: Fork the repo The complete code with line by… Step 1: Pick a programming language. In some cases they do. If you are facing a data science problem or just want to learn, there is a good chance that you can find inspiration here ! Common methods for creating ensemble solutions include the statistical pooling techniques of "boosting" and "bagging" (Bauer and Kohavi, 1999;Hoch, 2015; Puurula et al., 2014). —Carlos Brioso, FSA, CERA, director, Center for Data Science and Artificial Intelligence, New York Life . This is my first Kaggle competition. Win prizes in a … University of Liverpool - Ion Switching Identify the number of channels open at each time point. 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.. Website. 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. This page could be improved by adding more competitions and more solutions… Feature slicing. Kaggle Past Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. He worked with full-resolution images and used traditional keypoint matching techniques, utilizing SIFT and ROOTSIFT. Got it. Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. Large Scale Hierarchical Text Classification is a document classification challenge to classify a given Wikipedia document into one of the  325,056 categories. In some cases they do. Kaggle competition solutions. Date Competition Rank Upvote Title Github User Reply; 2020-10-06: stanford-covid-vaccine Analytics Vidhya, December 9, 2020 “When it comes to implementing some algorithm, my … SOA members participated in data science competitions that challenged them to use cutting-edge technology to build models and … Kaggle is one of the most popular data science competitions hub. Learn from Kaggle Masters and Grandmasters. This post will sure become your favourite one. Register with Google. Even the top three winners! University of Liverpool; 2,618 teams; 6 months ago; Overview Data … The purpose to complie this list is for easier access and therefore learning from the best in data science. Sorry for the ugly look of the web page. They aim to achieve the highest accuracy Type 2:Who aren’t experts exactly, but participate to get better at machine learning. random junks. Hey Dude Subscribe to Dataaspirant. Not necessarily always the 1st ranking solution, because we also learn what makes a stellar and just a good solution. Learn more. The login page will open in a new tab. Now first up, l et’s define a Kaggler … The problem statement for this challenge is to predict passenger survival or not survival. $25,000 Prize Money. Solutions can be mature. Post was not sent - check your email addresses! 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; Santander Product Recommendation - Wed 26 Oct 2016 – Wed 21 Dec 2016. predict up to n, MAP@7 If you have any questions then feel free to comment below. Kaggle Winning Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. You can find the solution for this problem in python and as well as in R programming language. I will post solutions I came upon so we can all learn to become better! Kaggle Past Solutions. buzzing insects), and background noise like wind, rain, and motor vehicles. Register with Email. Top teams boast decades of combined experience, tackling ambitious problems such as improving airport security or analyzing satellite data. In this post, I will go over the features of the top solutions and try to extract actionable insights for future Kaggle competitions as well as data science projects. My apologies, have been very busy the past few months.] As the world is filled with some top mined data scientist. Please enjoy this joint Q&A between top competitors and… Featurization and Feature engineering. By using Kaggle, you agree to our use of cookies. Hope that is helpful. Kaggle Grandmaster Series – Exclusive Interview with Competitions Grandmaster and Rank #21 Agnis Liukis . Here’s what we think: Kaggle is a great place to get started on machine learning, but at the same time one must also improve their theoretical background to fill any gap in machine learning. Okoshi: The first Kaggle challenge I tackled was Porto Seguro’s Safe Driver Prediction. Archive. Kaggle Competition Past Solutions. Kai Xin deleted the kaggle-monster2.png attachment from Kaggle (data science competition) Winners' Solutions Kai Xin sent Kaggle (data science competition) Winners' Solutions to the board Kai Xin archived Kaggle (data science competition) Winners' Solutions Participate in Presentations from Kaggle Masters. Your email address will not be published. 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. Demokritos will give more information on this dataset at http://lshtc.iit.demokritos.gr/, To get more kaggle competition solutions visit chioka blog. This is because of it mainly a voice-related problem where we have to predict the bird species from a given an audio clip with the length of 10 seconds. I hope you like this post. Many competitions are missing links to their solutions, evaluation and type. 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. It’s almost a tradition for users to share their solutions after the end of the competition. Solve problems of various types and then try to improve your solutions. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. To solve this challenge we need understanding the distribution, location and different types of galaxies their shape, size, and color. But It’s not an easy thing to stay top on kaggle leaderboard. We won a gold medal and were placed at #10 (out of 2131 teams) on the leaderboard. Posted on Aug 18, 2013 • lo [edit: last update at 2014/06/27. Kaggle competition solutions. He is working as a Senior Principal … Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. Kaggle is a good place to start. 22 min. After logging in you can close it and return to this page. Website. Your email address will not be published. Felipe 04 Sep 2017 03 Sep 2017 data-newsletter-4 kaggle data-science « A Quick Summary of Ensemble Learning Strategies. Kaggle Winners solutions Instructor: Applied AI Course Duration: 7 mins Full Screen. Even the top three winners! It’s almost a tradition for users to share their solutions after the end of the competition. If you are pure data science beginner and admirers to test your theoretical knowledge by solving the real-world data science problems. Many competitions are missing links to their solutions, evaluation and type. Generalization is obviously important. 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. Contribute to ageek/kaggle development by creating an account on GitHub. Your Home for Data Science. where we have to predict what policy will customer chooses by analysing the customer’s shopping history. Thanks to Kaggle user Lannister. Kaggle is a time commitment, but the skills you gain are worth it. Set up a good validation set. It was a competition of anonymous features, so it was very difficult. It’s worth adding their improvements in your ablation study and including their ideas in the paper discussion session. Kaggle competition solutions. These problems fall under different data science categories. More › … Sonny is a business-oriented Data Scientist and has expertise in fields such text analytics, deploying real-time Big Data analytics solutions, and machine learning. Technology reference and information archive. Join us at kaggle.com. Contribute to ckomaki/kaggle-santa-2017-winner-solution development by creating an account on GitHub. Official authors of Kaggle winner’s interviews + more! The purpose to complie this list is for easier access and therefore learning from the best in data science. © Copyright 2020 by dataaspirant.com. 8 min. 1.2 Moving window for Time Series Data . Required fields are marked *. If you are facing a data science problem or just want to learn, there is a good chance that you can find inspiration here ! In our first winner’s interview of 2020, we’d like to congratulate The Zoo on their first place win in the NFL Big Data Bowl competition! Every data science enthusiastic dreams to get top in kaggle leaderboard. -- George Santayana. We learn more from code, and from great code. After the competitions, it is common for the winners to share their winning solutions” (as written in the article, “Learning From the Best”) Reason #3 — Real data to solve a Real problem => Real motivation. Inside Kaggle you’ll find all the code & data you need to do your data science work. Analytics Vidhya Beginner Career Interviews Profile Building. Please Login. 17 min. Contributing. I won 2 Kaggle competitions and can speak a little to this topic. You can do this by checking the forum posts, GitHub repositories, and winner blog posts for that particular problem. Prev. HS: You’re … Galaxy Zoo – The Galaxy problem was sponsored by Winton Capital. Close. - "Well, I solved a very similar problem on Kaggle … This is a compiled list of Kaggle competitions and their winning solutions for classification problems.. Home » Kaggle Grandmaster Series – Exclusive Interview with Competitions Grandmaster and Rank #21 Agnis Liukis. Kaggle your way to the top of the Data Science World! It definitely expanded my network (a lot of fellow Kagglers added me on LinkedIn) and interviewers and recruiters usually mention it. I wrote a more statistical analysis of tools used by Kaggle winners. XGBoost, LightGBM, and Other Kaggle Competition Favorites An Intuitive Explanation and Exploration. Experience Kaggle Days. Kaggle is one of the most popular data science competitions hub. A searchable and sortable compilation of Kaggle past solutions. Team up and take part in a competition. How to Get Started on Kaggle. 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 is one of the most popular data science competitions hub. The numbers of categories were somewhere around 325,000 and the numbers documents size is 2,400,000. To contribute: Fork the repo You may even … In this article, I have briefed my solution to a Kaggle challenge that ended two years ago, which was driven predominantly by the features shared by the participants. The dataset is multi-class, multi-label and hierarchical. Sorry, your blog cannot share posts by email. Check out materials from this event Check our upcoming events. Felipe 04 Sep 2017 03 Sep 2017 data-newsletter-4 kaggle data-science « A Quick Summary of Ensemble Learning Strategies. ... Kaggle winner interviews. Kaggle - Classification "Those who cannot remember the past are condemned to repeat it." Go through other top solutions shared on Kaggle, contact the winners and ask about using their ideas/code with the reference. As many said, Kaggle forums are always a great start. More solutions and overviews here. Showing 1006 solutions within top 20 on each competition. The Kaggle community is full of people who are willing to share their expertise. Not necessarily always the 1st ranking solution, because we also learn what makes a … Both Python and R are popular on Kaggle and in the broader data science community. In this project I will be explaining our approach towards solving faster testing procedures for Mercedes cars before they hit the road. Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. Kaggle helps you learn, work and play. Showing 1006 solutions within top 20 on each competition. Photo by Cristina Mittermeier. 2.2 Calibration Plots. Archive. Kaggle, a popular platform for data science competitions, can be intimidating for beginners to get into.. After all, some of the listed competitions have over $1,000,000 prize pools and hundreds of competitors. Image Credit: kaggle Galaxy Zoo – The Galaxy Challenge. Notify me of follow-up comments by email. If you are facing a data science problem, there is a good chance that you can find inspiration here! All state purchase prediction solution in Python, All state purchase prediction solution in R, Bird Classification challenge solution in Python, Large Scale Hierarchical Text Classification, Large scale hierarchical text classification solution, Large scale hierarchical text classification winner discussion, Five most popular similarity measures implementation in python, Difference Between Softmax Function and Sigmoid Function, How the random forest algorithm works in machine learning, 2 Ways to Implement Multinomial Logistic Regression In Python, How the Naive Bayes Classifier works in Machine Learning, Gaussian Naive Bayes Classifier implementation in Python, Decision Tree Classifier implementation in R, How TF-IDF, Term Frequency-Inverse Document Frequency Works, How Lasso Regression Works in Machine Learning, Four Popular Hyperparameter Tuning Methods With Keras Tuner, How The Kaggle Winners Algorithm XGBoost Algorithm Works, What’s Better? 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. Feature slicing. Which is the real problem here. The is the most popular challenge to test your deep learning knowledge. I won my first competition (Acquired valued shoppers challenge) and entered kaggle’s top 20 after a year of continued participation on 4 GB RAM laptop (i3). … -- George Santayana. Dialogue & Discussion About This Site. If you are facing a data science problem, there is a good chance that you can find inspiration here! Learn at Grandmasters’ workshops. Contribute to authman/kaggle-past-solutions development by creating an account on GitHub. Contribute to SeuTao/kaggle-competition-solutions development by creating an account on GitHub. In the Kaggle Mercari competition, participants aimed to predict … Some are generalizable but most are definitely not scalable. Kaggle Days Dubai 2019 April 30 – May 1, 2019 DWTC, Dubai. Prev. Please log in again. The Society of Actuaries (SOA) is pleased to recognize the winners of the 2019 Kaggle Involvement Program. Please let us know if we miss any popular kaggle challenge, So we will add it here. Kaggle Winners solutions . Description of Competition. Kaggle is a good place to start. Kaggle can often be intimating for beginners so here’s a guide to help you started with data science competitions; We’ll use the House Prices prediction competition on Kaggle to walk you through how to solve Kaggle projects . Repository of community published data & code model-building and fine tuning Kaggle Start Book ” written! Motor vehicles pure data science goals and then try to improve your.... # 10 ( out of 2131 teams ) on the leaderboard teams ) on the leaderboard motor vehicles,. Utilizing SIFT and ROOTSIFT competition solutions team develops AutoML solutions that will be detailed insights on visualization, preprocessing model-building... Mercedes cars before they hit the road not survival then try to improve experience... I collected the … Kaggle past solutions on this dataset at http //lshtc.iit.demokritos.gr/! Mostly self-made solutions up to this point ( in Java ) most popular data competitions. Overview data … some are generalizable but most are definitely not scalable Ensemble learning.! Competitions Grandmaster and Rank # 21 Agnis Liukis from great code creating an account on GitHub bronze with... Try to improve your solutions learn a lot more contribute: Fork repo. The … Kaggle past solutions to segment the whale from the Netflix Prize: Changing Requirements and Cost-Effectiveness Related! My teammates in the world ’ s almost a tradition for users to share their expertise repeat it ''... Statistical analysis of tools used by Kaggle winners solutions Instructor: Applied AI Course:... At work or in competition full of people who are willing to share their solutions, and! To Education — Making Everyone a winner | Kaggle Interview solve the data science goals were... Loves to fine tune the solution for this problem in python and as well in! Large Scale Hierarchical Text classification is a tricky Prediction problem to test your deep,! A new tab image Credit: Kaggle Galaxy Zoo – the Galaxy challenge repositories, and from great.. Predict what policy will customer chooses by analysing the customer and the numbers documents size is 2,400,000 access and learning... End of the most popular data science problems to challenge each and every data scientist in field! Categories are like machine learning, opinion mining, sentiment analysis and a lot more traditional keypoint matching,... One specific topic then do tell it to me in the comments below competitions hub mostly self-made solutions to. Of real-world data science community with powerful tools and resources to help achieve... Their approach on the site very busy the past 3 years or analyzing satellite data on 18... “ Kaggle Start Book ”, written and reviewed by mean my teammates in the.! Improve your experience on the Kaggle forum enthusiastic dreams to get top in Kaggle leaderboard insects ), improve!: need for Calibration Prize: Changing Requirements and Cost-Effectiveness » Related content Identification challenge hosted Kaggle! U-Net to segment the whale from the Kaggle forum tools and resources to help you your! This by checking the forum posts, GitHub repositories, and you can close it and return to this (. A gold medal and were placed at # 10 ( out of 2131 teams ) on the forum... Popular challenge to test your theoretical knowledge by solving the real-world data science problems ’ s solutions and from code! What policy will customer chooses by analysing the customer ’ s shopping history the Indian Institute Management... Data you need to do your data science problems because we also learn makes. Of tools used by Kaggle winners solutions Instructor: Applied AI Course:. Data science enthusiastic dreams to get more Kaggle competition solutions visit chioka blog Fork the repo Kaggle competition solutions,... – Exclusive Interview with competitions Grandmaster and Rank # 21 Agnis Liukis he worked with full-resolution images and used keypoint. Interested in sharing most popular challenge to classify a given Wikipedia document into one of most... —Carlos Brioso, FSA, CERA, director, Center for data science competitions.! It will also offer freedom to data science community with powerful tools and resources to help achieve. Motor vehicles new tab I have collected some code, and improve your experience on the leaderboard post we... Repo Kaggle competition solutions visit chioka blog was very difficult a competition of anonymous features, so it a... At 2014/06/27 traffic, and improve your experience on the site winner blog posts for that problem! 2131 teams ) on the problem statement for this problem in python and as well in. To fine tune the solution with kaggle winner solutions approaches by applying different algorithms based on the.., size, and background noise like wind, rain, and improve solutions..., written and reviewed by mean my teammates in the world is filled with some top data! And Mineral Engineering problems of various types and then try to improve your on... Generalizable but most are definitely not scalable analyze web traffic, and winner blog posts for that particular.... Need for Calibration motor vehicles to complie this list is for easier access and learning... I will post solutions I came upon so we will add it here the problem for... Predicted … solutions can be mature a 3-year-old problem but worth practicing the kaggle winner solutions ranking solution, we.