He currently leads a company he founded that provides software solutions to banks. The solution is implemented in 3 phases (Figure 2) of data pre-processing of two datasets: diagnostics task and Kaggle , calculating word embeddings and Word2Vec sentence similarity between task sentences and article body sentences, and selects the top rank … Let’s take a look at what’s happening at each of these steps. It was a very interesting problem, as the classes of data were very unbalanced, … This blog post aims at showing what kind of feature engineering can be achieved in order to improve machine learning models. The Most Comprehensive List of Kaggle Solutions and Ideas. GitHub Gist: instantly share code, notes, and snippets. We learn more from code, and from great code. Experienced Data Analyst (Python & Qlik) & Database (SQL Server & MongoDB) Specialist - ppattnayak The kind of tricky thing here is that there is not really any way of gathering (from the page itself) which datasets are good to start with. Hasbro Inc beat analysts' estimates for quarterly. We have a new #1 on our leaderboard — a competitor who surprisingly joined the platform just two years ago. This list will get updated as soon as a new competition finished. The small range of scores compared to this base score is an indication of how hard this particular problem is. These type of predictive modeling contests are compelling as a pedagogical exercise as they allow students to engage with real data and provide automatic feedback on performance in both an absolute (e.g. At the time of writing, the scores in the Kaggle competition range from around 0.068 to around 0.064. My apologies, have been very busy the past few months.] I would recommend using the “search” feature to look up some of the standard data sets out there, such as the Iris Species, Pima Indians Diabetes, Adult Census Income, autompg, and Breast Cancer Wisconsindata sets. Offered by National Research University Higher School of Economics. Everyone wants to better understand their customers. To start easily, I suggest you start by looking at the datasets, Datasets | Kaggle. Whatever you need that is connected with Data Science or Machine Learning, you can probably find some clue about it on Kaggle. I was quick to find out in the early days that this wasn’t the first time SIIM (Society for Imaging Informatics in Medicine) was hosting such a competition. Intro. Sample script to download Kaggle files. In fact, such competitions have been held before in 2016, 2017, 2018 and 2019. With the model above we are already at the low end. Contribute to songxxiao/predict-future-sales development by creating an account on GitHub. We collect these solutions and extract information from them that can inform us about the visualizations they use. Before you go any further, read the descriptions of the data set to understand wha… A 1kaggle.com similar approach was used to study the trends of people collaborating Github [2]. Date Competition Rank Upvote Title Github User Reply; 2020-10-06: stanford-covid-vaccine Normally in a Kaggle competition, it is easy to see who has a good solution and who doesn’t - and obviously you can ask others with good solutions to team up. This post provides a description of the solution submitted for Kaggle competition (CORD-19) round #2 diagnostics task (link to github). There are two main kernels that were used, one for prediction , and one for Bayesian parameter optimization . You can create public and private datasets on Kaggle from your local machine, URLs, GitHub repositories, and Kaggle Notebook outputs. Let us try to improve upon our score. Kaggle.com is one of the most popular websites amongst Data Scientists and Machine Learning Engineers. Graduate Student - Actively Seeking FT roles in Data Science & Analytics. I was fortunate that Julian entered the competition. problems and post their solutions to the website. Kaggle Past Solutions Sortable and searchable compilation of solutions to past Kaggle competitions. Kaggle Solutions and Ideas by Farid Rashidi. Step 1: Download dataset. The challenges on Kaggle are hosted by real companies looking to solve a … We scored in the 86th percentile, below one of the public collaboration solutions. It provides a whole Data Science ecosystem, ranging from competitions, kernels, discussions to blog and courses. After reading, you can use this workflow to solve other real problems and use it as a template. Predicting-Future-Sales-Kaggle. One second place solution for two 7th place solutions is a pretty good trade off! 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. Kaggle is the biggest Data Science community with over 2 million users. Walmart Kaggle Competition How I Achieved a Top 25% Score in the Walmart Classification Challenge View on GitHub Download .zip Download .tar.gz The Walmart Data Science Competition. Showing 1006 solutions within top 20 on each competition. This is a great place for Data Scientists looking for interesting datasets with some preprocessing already taken care of. As an analytics and management consultant, she was responsible for managing projects, identifying solutions, and developing support among senior-level … Many researchers have published peer-reviewed papers based on winning solutions at Kaggle … GitHub; Kaggle; LinkedIn; 10 min read Kaggle instacart (top2%) feature engineering and solution overview 2017/08/28. The score above is already pretty decent. Download App. These solutions are publicly accessible and receive upvotes from other users on the platform. In this Kaggle competition, Rossmann, the second largest chain of German drug stores, challenged competitors to predict 6 weeks of daily sales for 1,115 stores located across Germany.According to the information provided, sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. Insights platform Contentsquare analysed more than 1,400 websites 1. Although Kaggle is not yet as popular as GitHub, it is an up and coming social educational platform. Shubin Dai, better known as Bestfitting on Kaggle or Bingo by his friends, is a data scientist and engineering manager living in Changsha, China. Vassar Labs is an IoT, Machine Learning and AI based based solutions provider in last mile visibility and decision support started by successful technology entrepreneurs. In the premium mode of the extension, pulling from github repositories is enabled. Julia has over five years of experience delivering business insight through data analysis and visualization. I entered Kaggle’s instacart-market-basket-analysis challenge with goals such as : Research past solutions. 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. Kaggle Competition Past Solutions. The following steps are from the otto-kaggle-example.ipynb Jupyter notebook hosted on GitHub. This is a list of almost all available solutions and ideas shared by top performers in the past Kaggle competitions. 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. If you are facing a data science problem, there is a good chance that you can find inspiration here! Not necessarily always the 1st ranking solution, because we also learn what makes a … Kaggle is a popular platform that enables companies and researchers to host predictive modeling competitions open to analysts, statisticians, and data scientists all over the world. Posted on Aug 18, 2013 • lo [edit: last update at 2014/06/27. The extension can publish to public and private repositories and can as well update the content of a kaggle kernel/script from an existing ipynb file or a script (R or python) from your repository. Kaggle Solutions. Kaggle Competition Past Solutions. This step assumes that you have Kaggle CLI installed and you’ve agreed to participate in the competition by visiting the competition page. This page could be improved by adding more competitions and more solutions… If you want to break into competitive data science, then this course is for you! To around 0.064 & Analytics you ’ ve agreed to participate in the page. On each competition of Economics problem, there is a good chance that you can create and... Development by creating an account on GitHub to past Kaggle competitions 1006 solutions within top 20 on competition... You need that is connected with Data Science or Machine Learning, you use! A template good chance that you can probably find some clue about it on Kaggle your. 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