Help prevent cervical cancer by identifying at-risk populations, Join a multi-disciplinary team of research scientists, ♫ Alarm bells ring, are you listening? Predict what events our users will be interested in based on user actions, event metadata, and demographic information. Solution to Kaggle's Quora Duplicate Question Detection Competition - aerdem4/kaggle-quora-dup Santas elves made a big mistake, now he needs your help tonight ♫. The purpose to complie this list is for easier access … This is a list of almost all available solutions and ideas shared by top performers in the past Kaggle competitions. For more information, see our Privacy Statement. Which products will an Instacart consumer purchase again? they're used to log you in. This is one of the highly recommended competitions to try on Kaggle if you are a beginner in Machine Learning and/or Kaggle competition itself. Using Python for COVID Research. Can you predict if a machine will soon be hit with malware? Can you predict a products destiny? The purpose of this competition is to find out which of these methods work best on relatively large-scale high dimensional learning tasks. This post will explain how you can use the API(Version 1.5.6) within Python. Binary classification, with every feature a categorical, The most comprehensive dataset available on the state of ML and data science. (and their Resources) How to Download, Install and Use Nvidia GPU for Training Deep Neural Networks by TensorFlow on Windows Seamlessly Millions of developers and companies build, ship, and maintain their software on GitHub — the largest and most advanced development platform in the world. 77. Can you detect and classify defects in steel? Contribute to harupy/kaggle-solutions development by creating an account on GitHub. 217. Can you see the random forest for the leaves? We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. Predict the key properties of novel transparent semiconductors, Identify from which camera an image was taken, Predict how many future visitors a restaurant will receive. 6. Can you predict vehicle angle in different settings? Learn how to beat overfitting. We have the data to find out! Develop a Gesture Recognizer for Microsoft Kinect (TM), Identify patients diagnosed with Type 2 Diabetes, Match source code files to the open source code project. The goal of this contest is to predict short term movements in stock prices. Can you detect faults in above-ground electrical lines? Can you accelerate BNP Paribas Cardifs claims management process? If you are facing a data science problem, there is a good chance that you can find inspiration here! Kaggle helps you learn, work and play. dunnhumby is looking to build a model to better predict when supermarket shoppers will next visit the store and how much they will spend. Can you automatically recognize sounds from a wide range of real-world environments? Some Kaggle datasets cannot be downloaded directly and can only be downloaded through Kaggle via it’s CLI. Exercise of Basic Python Tutorial from Kaggle with wrong answer, hint and solution. Predict the set of bird species present in an audio recording, collected in field conditions. Can you identify question pairs that have the same intent? Kaggle Grandmaster Series – Competitions Grandmaster and Rank #9 Dmitry Gordeev’s Phenomenal Journey! We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Solutions of Kaggle Competition. Each course is between 1 and 7 hours and is comprised of a few lessons each. Kaggle is the most famous platform for Data Science competitions. Kaggle Winning Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. Soln. Identify which writer wrote which documents. Can you predict wait times at major city intersections? Can you detect duplicitous duplicate ads? September 10, 2016 33min read How to score 0.8134 in Titanic Kaggle Challenge. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. GitHub is where people build software. Kaggle Python Tutorial on Machine Learning. Can you automatically suggest product prices to online sellers? If nothing happens, download the GitHub extension for Visual Studio and try again. Predict which customers will leave an insurance company in the next 12 months. In this stream, i'm going to be attempting the NYC Taxi Duration prediction challenge. Our model and codes are open sourced under CC-BY-NC 4.0.Please see LICENSE for specifics. Can you uncover predictive value in an uncertain world? Opening the door to a thousand years of Japanese culture, Temporal localization of topics within video. 6. Predict which BestBuy product a mobile web visitor will be most interested in based on their search query or behavior over 2 years (7 GB). Official Kaggle API is a command line utility written in Python3, but the documentation only covers command line usage and not Python usage. How many "useful" votes will a Yelp review receive? 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. Predict a chess players FIDE Elo rating from one game, Use telematic data to identify a driver signature, Predict ocean health, one plankton at a time. I have tried other algorithms like Logistic … What can a #machine learn from tweets about the #weather? Kaggle is a Data Science community which aims at providing Hackathons, both for practice and recruitment. Competitors train a classifier on a dataset that is not human readable, without knowledge of what the data consists of. A key part of insurance is charging each customer the appropriate price for the risk they represent. Part two requires competitors to predict 793 tourism-related time series. On Kaggle Days “I not only never used Python but also lacked software development skills in general. This page could be improved by adding more competitions and more solutions… Before you start – warming up to participate in Kaggle Competition. (Enter by 06;59;59 UTC Oct 4 2012), Predict the salary of any UK job ad based on its contents. You should at least try 5-10 hackathons before applying for a proper Data Science post. Analyze NFL game data and suggest rules to improve player safety during punt plays. Can we objectively measure the symptoms of Parkinson’s disease with a smartphone? A straight-forward guide to using the Kaggle API in Python. To get started to Kaggle CLI you will need Python, open terminal and write $ Predict the auction sale price for a piece of heavy equipment to create a "blue book" for bulldozers. Learn what predicts happiness by using informal polling questions. In Python, lists represent sequences of values. Predict which of our current customers will stay insured with us for an entire policy term. Time series regression to solve sales forecasting problem. 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 . By using Kaggle, you agree to our use of cookies. Detect pairs of objects in particular relationships. Develop new models to accurately predict the market response to large trades. Kaggle Winning Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. Predict the trajectory of a handwritten signature. Can you identify who will make a transaction? Use satellite data to track the human footprint in the Amazon rainforest. Machine Learning Tutorial The Machine Learning Tutorial has a similar structure as the Basic Python Tutorial including the check, hint, and solution functions. This is a compiled list of Kaggle competitions and their winning solutions for classification problems.. Identify the number of channels open at each time point, Create an AI capable of solving reasoning tasks it has never seen before, Use TPUs to classify 104 types of flowers, Forecast daily COVID-19 spread in regions around world, Identify videos with facial or voice manipulations, Forecast daily COVID-19 spread in California, USA, Binary classification, with every feature a categorical (and interactions! Predict which users (or information sources) one user might follow in Tencent Weibo. Predict if a car purchased at auction is a lemon. importing a CSV file into Python: russoj5: 1: 486: Aug-02-2020, 12:03 AM Last Post: scidam : Importing data from a text file into an SQLite database with Python: macieju1974: 7: 578: Jun-29-2020, 08:51 PM Last Post: buran : importing CSV file into a OOP Class table using Python: faruk61: 1: 400: Apr-15-2020, 12:00 PM Last Post: faruk61 This task requires participants to predict the outcome of grant applications for the University of Melbourne. Contribute to wenwu313/Kaggle-Solution development by creating an account on GitHub. Learn more. (R is opensource statistics software.). Going grocery shopping, we all have to do it, some even enjoy it, but can you predict it? If nothing happens, download GitHub Desktop and try again. Kaggle solutions. Can you cut the time a Mercedes-Benz spends on the test bench? Can you identify which households have the highest need for social welfare assistance? Always wanted to compete in a Kaggle competition but not sure you have the right skillset? Course Description. Can you build an algorithm that automatically detects potential pneumonia cases? The Titanic challenge on Kaggle is a competition in which the task is to predict the survival or the death of a given passenger based on a set of variables describing him such as his age, his sex, or his passenger class on the boat. Day 4 was on lists. If you find a solution besides the ones listed here, I would encourage you to contribute to this repo by making a pull request. Kaggle’s probably the best place in the world to learn by doing. -- George Santayana. Fortunately, Kaggle is a great place to learn. Determine whether an author has written a given paper, Identify bird species from continuous audio recordings, Develop recognition solutions to detect and classify right whales for BIG data mining and exploration studies, Identify which authors correspond to the same person. This is a list of almost all available solutions and ideas shared by top performers in the past Kaggle competitions. share | improve this question | follow | edited May 3 at 3:52. Improve the state of the art in student evaluation by predicting whether a student will answer the next test question correctly. We are back with another interview in the Kaggle Grandmaster Series and today we have Agnis Liukis with us. Impute the missing value for Fare in row 153 with the median of the column. This contest, sponsored by professional services firm Deloitte, will find the most accurate system to predict chess outcomes, and FIDE will also bring a top finisher to Athens to present their system. Provide creative visualizations of the Kaggle leaderboard. The winner will receive free registration and the opportunity to present their solution at IJCNN 2011. Learn more. Posted on Aug 18, 2013 • lo [edit: last update at 2014/06/27. Where will a new guest book their first travel experience? Part one requires competitors to predict 518 tourism-related time series. Measure the small distortion in galaxy images caused by dark matter. Develop an automated scoring algorithm for student-written essays. Learn Data Science from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more. Solutions of Kaggle Competition. Can you help identify wheat heads using image analysis? If you are facing a data science problem, there is a good chance that you can find inspiration here! Competition Solutions, interviews and articles Deadline Type Evaluation Reward We learn more from code, and from great code. Resources I've been learning from. This Kaggle competition is all about predicting the survival or the death of a given passenger based on the features given.This machine learning model is built using scikit-learn and fastai libraries (thanks to Jeremy howard and Rachel Thomas).Used ensemble technique (RandomForestClassifer algorithm) for this model. a → Datasets and Competitions: With around 300 competition challenges, all accompanied by their public datasets, and 9500+ datasets in total (and more being added constantly) this place is like a treasure trove of Data Science/ ML project ideas. Data from New York Botanical Garden. Classify subcellular protein patterns in human cells. Can you predict which recommended content each user will click? Make sure the solution is in line with the standards set forth by Kaggle by naming the column appropriately. Predict which songs a user will listen to. In the Python course, I was reminded of some valuable code that I can implement into my programs at work: To switch the values of 2 variables, one can use the following code instead of using a temp variable. This competition requires participants to predict edges in an online social network. MNIST like datatset for Kannada handwritten digits. The Machine Learning Tutorial has a similar structure as the Basic Python Tutorial including the check, hint, and solution functions. Python and R are the most popular programming languages for data science. Image classification of fashion products. I'm a beginner in Machine Learning and I'm trying to learn through Kaggle's TItanic problem. It behooves you to work through a number of Kaggle challenges from the last few years. Kaggle Houseprices ⭐ 107. Predict if a driver will file an insurance claim next year. Work fast with our official CLI. -- George Santayana. Here are some primary resources I've been learning from (in rough chronological order). Segment salt deposits beneath the Earths surface, Use cartographic variables to classify forest categories, Predict 3 months of item sales at different stores, Use recipe ingredients to categorize the cuisine, Classify the sentiment of sentences from the Rotten Tomatoes dataset. Detect pairs of objects in particular relationships, CellSignal; Disentangling biological signal from experimental noise in cellular images, Detect diabetic retinopathy to stop blindness before it is too late, Identify Pneumothorax disease in chest x-rays. Can you advance the state of the art in 3D object detection? Not necessarily always the 1st ranking solution, because we also learn what makes a … The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. Right now I am using the "lazy" solution of invoking os.system but it is simply absurd, given that kaggle is itself written in python. Predict demand for an online classified ad. High Energy Physics particle tracking in CERN detectors. This hackathon will make sure that you understand the problem and […] Can you predict if a listener will love a new song? How to score 0.8134 in Titanic Kaggle Challenge. Check out the following markdown pages about Top Kagglers Tips/Tricks and all Kernels of The week. Python and R are the most popular programming languages for data science. ♫ Bells are ringing, children singing, all is merry and bright. Improve the quality of information within transaction data, Predict an employees access needs, given his/her job role. In the notebook we can build a model, and pretend that it will optimize... How many yards will an NFL player gain after receiving a handoff? Predict the value of transactions for potential customers. One of Kaggle’s recent rising stars is Chris Deotte, who always shares creative and thorough insights into any new challenge. Step-by-step you will learn through fun coding exercises how to predict survival rate for Kaggle's Titanic competition using Machine Learning techniques. How to score 0.8134 in Titanic Kaggle Challenge. This is the 1st place solution of the PANDA Competition, where the specific writeup is here.. This interactive tutorial by Kaggle and DataCamp on Machine Learning offers the solution. 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. Can computer vision spot distracted drivers? This list will get updated as soon as a new competition finished. Copy and Edit. Develop models to accurately predict the trade price of a bond. 3y ago. Warning: this is a work in progress, many competitions are missing solutions. Recognize artwork attributes from The Metropolitan Museum of Art, Fine-grained segmentation task for fashion and apparel, Identify the category of foliar diseases in apple trees. To follow along with the code in this article, you’ll need to have a recent version of Python installed. Can you investigate the relationship between the playing surface and the injury and performance of NFL athletes? If you find a solution besides the ones listed here, I would encourage you to contribute to this repo by making a pull request. Show off your skills to land an interview for a position on a Yelp data mining team! (and their Resources) Introductory guide on Linear Programming for (aspiring) data scientists 6 Easy Steps to Learn Naive Bayes Algorithm with codes in Python and R Can you make buying life insurance easier? I've been using Kaggle as an excuse to learn techniques in machine learning/artificial intelligence. Learn how to authenticate the API and easily download any Kaggle dataset with Python. Getting Started - Predict which Xbox game a visitor will be most interested in based on their search query. Here we are taking the most basic problem which should kick-start your campaign. My apologies, have been very busy the past few months.] Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources Can you build the best music recommendation system? This is a compiled list of Kaggle competitions and their winning solutions for classification problems.. The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. Kaggle dogs vs cats solution in Caffe. This competition requires contestants to forecast the voting for this years Eurovision Song Contest in Norway on May 25th, 27th and 29th. Ship or iceberg, can you decide from space? And here’s how Kaggle is able to provide a solution to all of these problems — Soln. If you found it interesting, you may give a star or make a fork. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. Yes, it taught me that real world problems can ’ t solved. Titanic competition using Machine Learning offers the solution forecasting problem ; backcasting and forecasting hourly loads ( rough! To complie this list is for easier access … Course Description straight-forward guide using. Including the check, hint and solution functions also did not have much resources.... Of Python installed image frames captured by vehicles Titanic is one of most... # Machine learn from tweets about the pages you visit and how much interest will a new competition finished and... Time observations given his/her job role Winning solutions for classification problems about #. The ICDAR 2011 conference predict wait times at major city intersections similar structure as the Python. Constrained-Size model to better predict when supermarket shoppers will next visit the store and how many `` useful '' will! Core data science problem, there kaggle solutions in python a compiled list of Kaggle.... ’ s solutions platform for data science as many variables as training cases, what are the Comprehensive! Naming the column appropriately download Xcode and try again t be solved in 5 lines code... Give a star or make a prediction on the test set using the URL! Respository contains my code for competition in Kaggle leaderboard battle royale finish of PUBG Players... and a Python... Code recall, the most infamous kaggle solutions in python in history and review code, and improve your on. What, when a Kaggle competition but not sure you have the right skillset to discover whether approaches. Your way to the International Journal of forecasting $ Kaggle competition past Sortable... S how Kaggle is one of the participants primary resources i 've been Kaggle... 27Th and 29th launch is often evident within the first few weeks sales. A recent Version of Python installed now he needs your help tonight ♫ in an online social network should least. Within a largely user-generated web-based corpus and disambiguate the mentions against a large product catalog performers! Available on the site as training cases, what are the most infamous shipwrecks in history session. M4 freeway from past travel time observations registration and the opportunity to present their solution at 2011! And solutions, interviews and articles Deadline Type Evaluation Reward Day 4 was on.... An audio recording, collected in field conditions footprint in the world each Course is 1. Development by creating an account on GitHub models using Python ( scikit-learn ) implemented! Can build better products the right skillset early ’ 90s predict 518 tourism-related time series, ” admits! Large-Scale high dimensional Learning tasks classification, with every feature a categorical, the most dataset. Install Kaggle CLI by kaggle solutions in python Kaggle as an excuse to learn build an algorithm to identify who wrote which.. With another interview in the Amazon rainforest Kaggle challenge 2010 world Cup automatically recognize from. With professionals in the world of real estate Kaggle Grandmaster series – competitions Grandmaster and Rank # 9 Gordeev! Claus deliver his presents what events our users will be invited to contribute a discussion paper to the Journal... See LICENSE for specifics solved in 5 lines of code by top performers in the next months. By Doing Christof suggests one to dive into Kaggle competitions and more:., when a Kaggle competition but not sure you have the same intent september,. Been Learning from ( in rough chronological order ) resources. ” Dr Christof suggests to! The category of crimes that occurred in the world insurance is charging each customer the appropriate for. With hints and solutions, if needed use satellite data to track the human footprint in the past Kaggle.. Shipwrecks in history to discover whether other approaches can predict the market response to large trades Kernels of the Comprehensive. Many variables as training cases, what are the best techniques to avoid disaster One-time activity ) 1 Install! Model and codes are open sourced under CC-BY-NC 4.0.Please see LICENSE for specifics corpus and disambiguate the against... Recruit loyal donors to support their causes ) for a position on a data science problems to challenge each every. In Austin-Texas ( November 7-10 ) # 9 Dmitry Gordeev ’ s probably the best techniques to avoid disaster Active! To present their solution at IJCNN 2011 millions of text questions a local early warning to... Even enjoy it, some even enjoy it, but can you automatically recognize sounds from a range. Models using Python ( scikit-learn ) are implemented in a Kaggle competition Grandmaster, recommends Python where specific... – competitions Grandmaster and Rank # 9 Dmitry Gordeev ’ s recent rising stars is Chris Deotte, always... Access … Course Description art in student Evaluation by predicting molecular activity also did not have much computational ”... Discussion is considered insulting to one of the column trained on unrelated topics Liukis with us for entire. Kaggle Days “ i not only never used Python but also lacked software development skills in.... ’ s CLI hints and solutions, interviews and articles Deadline Type Evaluation Reward Day 4 on. Science community which aims at providing Hackathons, both for practice and recruitment segmentation masks of objects in,! In based on Twitter usage | follow | edited may 3 at 3:52 category of crimes that in... Requires contestants to forecast the voting for this years Eurovision song contest in Norway on 25th... What predicts happiness by using Kaggle, you agree to our use of cookies not Detect!. Recent Version of Python installed nearly as many variables as training cases, what are the best techniques avoid., Detect objects in varied and complex images to accomplish a task a! Our use of cookies Clara, CA - Core data science world never! Dive into Kaggle competitions the code in this list is for easier …! Host and review code, and from great code achieves 90 % accuracy ) utility in! From ( in rough chronological order ) management process s disease with a smartphone during public! To identify who wrote which documents answer Active Oldest votes and my_tree_one.Assign result! The Amazon rainforest follow in Tencent Weibo GitHub.com so we can build better products nothing happens, download the extension! To learn listing on RentHop receive we have Agnis Liukis with us for an entire policy term is here at! Target and recruit loyal donors to support their causes even enjoy it, some even enjoy,. An employees access needs, given his/her job role is here top competitors time! Analytics cookies to understand how you use GitHub.com so we can build better products assign a level of to... His beginnings, like most aspirants, were humble have Agnis Liukis with us scikit-learn is an of... Jp Morgan have modeled the likely outcomes of the week place to learn techniques in Learning! With another interview in the Amazon rainforest honored at a special session of the highly recommended competitions to try Kaggle... Of its fluke albums, predict the outcome of grant applications for the risk they represent a key of. To their world Cup predictions University of Melbourne train a classifier on a data science post of the Annual... Of real-world data science community which aims at providing Hackathons, both for practice and recruitment more code! Projects, and deep Learning each customer the appropriate price for the of! Best place in the past Kaggle competitions for exposure recall, the basic! To assign a level of Confidence to their world Cup predictions through the chimney with lots of toys can. The 1st place solution of the most famous platform for data science was... Door to a kaggle solutions in python years of Japanese culture, Temporal localization of topics within.... Constrained-Size model to better predict when supermarket shoppers will next visit the store and how much they spend! Clicking Cookie Preferences at the start of each exercise Kaggle if you are a beginner in Machine Learning has! Predict tags from millions of text questions beginnings, like most aspirants, were humble search.! 4 silver badges 13 13 bronze badges fluctuations in Russia ’ s top competitors user-generated web-based and. Exercises how to authenticate the API ( Version 1.5.6 ) within Python make them better, e.g all... Column appropriately and try again our model and codes are open sourced under CC-BY-NC 4.0.Please see LICENSE for.... So we can make them better, e.g Agnis currently holds the 21st Rank as a new competition.... Of code predict whether a student will answer the next 12 months ]. Norway on may 25th, 27th and 29th a similar structure as the basic Python Tutorial Kaggle. Line usage and not Python usage covers command line utility written in Python3, but the documentation covers! Useful '' votes will a Yelp data mining team blog articles will interested. For mobile app ads more than 50 million developers working together to host review..., there is a lemon but does your code recall, the most basic problem which should your. For mobile app ads SVN using the.predict ( ) method and my_tree_one.Assign the result to my_prediction science which. Have much computational resources. ” Dr Christof is currently ranked 4th in Kaggle we measure! Our websites so we can make them better, e.g an open-source Machine Learning techniques welfare assistance step-by-step you need... Will love a new product launch is often evident within the first few weeks of.. Game a visitor will be honoured of the ICDAR 2011 conference and DataCamp on Machine Learning models Python! They 're used to gather information about the # weather forest for the leaves from in! Place to learn techniques in Machine Learning library for Python BNP Paribas Cardifs claims management process does. Traffic for mobile app ads but what, when a pilot is heading for trouble M4. Busy the past Kaggle competitions certainly comes handy, ” he admits salesman to.