21. World Bank project Costs — data on World Bank projects and their corresponding costs. Aside from image classification, there are also a variety of open datasets for text classification tasks. Kaggle & Datascience resources: Few of my favorite datasets from Kaggle Website are listed here. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. ... Kaggle has curated a set of tutorial-style kernels which cover everything from regression to neural networks. 10 Face Datasets To Start Facial Recognition Projects by Ambika ... Face Images with Marked Landmark Points is a Kaggle dataset to predict keypoint positions on face images. 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. Includes lots of datasets, ready for download and analysis. Projects on Kaggle datasets. It contains various datasets from popular websites like Goodreads book reviews, Amazon product reviews, bartending data, data from social media, etc that are used in building a recommender system. Kaggle Datasets is not just a plain repository of data. It’s called the datasets subreddit, or /r/datasets. I firmly believe these projects are the best place to invest your time and skill. 1. Kaggle, recently acquired by Google, is a place where you can learn, practice, and fine-tune your data science/analytics skills. The repository contains more than 350 datasets with labels like domain, purpose of the problem (Classification / Regression). This is a great place for Data Scientists looking for interesting datasets with some preprocessing already taken care of. Kaggle.com is one of the most popular websites amongst Data Scientists and Machine Learning Engineers. Kaggle is also the best place to start playing with data as it hosts over 23,000 public datasets and more than 200,000 public notebooks that can be run online! Here we list down 3 best sites where we get our datasets from for our data science projects. Recommender Systems Datasets is a repository of datasets used by Julian McAuley, a computer science professor at UCSD. 4. Find Open Datasets and Machine Learning Projects | Kaggle Download Open Datasets on 1000s of Projects + Share Projects on One Platform. To store the features, I used the variable dataset and for labels I used label.For this project, I set each image size to be 64x64. This is a portal to a collection of rich datasets that were used in lab research projects at UCSD. If you take the time to dig about to locate them, you will find several different fascinating data sets in all shapes and sizes! Kaggle data science competitions are not the only way to explore datasets and drive insights into exciting topics. Data Notes: tech datasets + resume projects for new data scientists AnalyticsWeek July 11, 2018 Data Blog , data notes , Data Science News , Kaggle Datasets , Kernels , Open Datasets 0 For this month’s Data Notes, explore datasets that dig into … To access public datasets ready for data science / notebooks, visit Kaggle To see how public datasets are leveraged for good, visit Data Solutions for Change Google Cloud Public Datasets Google Cloud Public Datasets facilitate access to high-demand public datasets making it easy for you to access and uncover new insights in the cloud. Kaggle Datasets – Open datasets contributed by the Kaggle community. Kaggle’s probably the best place in the world to learn by doing. Kaggle is a great resource for machine learning datasets. 65k. It contains various datasets from popular websites like Goodreads book reviews, Amazon product reviews, bartending data, data from social media, etc that are used in building a recommender system. Kaggle.com is one of the most popular websites amongst Data Scientists and Machine Learning Engineers. Files for kaggle, version 1.5.10; Filename, size File type Python version Upload date Hashes; Filename, size kaggle-1.5.10.tar.gz (59.1 kB) File type Source Python … You can use these filters to identify good datasets for your need. Star Wars Characters Database - As an API and as an R package - Includes height, weight, birth date, and several other attributes for characters from the movies. So, the short answer is: corpora. They have tons of data that’s open to the public, and allow users of the platform to share code so you can learn best practices within the data space. It’s a bit like Reddit for datasets, with rich tooling to get started with different datasets, comment, and upvote functionality, as well as a view on which projects are already being worked on in Kaggle. Although Kaggle is not yet as popular as GitHub, it is an up and coming social educational platform. Final project for "How to win a … While it offers a large variety of services, such as model building capabilities in a web-based environment, collaboration opportunities with other data scientists and competitions to test your data scienc accumen, one of it's biggest draws is the large number of free, relatively clean, datasets available for download. Because, these AI projects are so competitive, tricky, and interesting to develop. /r/datasets. Kaggle is an online community for data scientists owned by Google. In Kaggle, all data files are located inside the input folder which is one level up from where the notebook is located. Although Kaggle is not yet as popular as GitHub, it is an up and coming social educational platform. Reddit, a popular community discussion site, has a section devoted to sharing interesting data sets. You should be very familiar with Kaggle by now. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Fortunately, Kaggle is a great place to learn. Saed Hussain. Lionbridge AI creates and annotates customized datasets for a wide variety of NLP projects, including everything from chatbot variations to entity annotation. Google Colaboratory and Kaggle datasets. For example, have a look at the BNC (British National Corpus) - a hundred million words of real English, some of it PoS-tagged. Includes datasets like population of US cities, Car Speeding and Warning Signs, Weight Data for Domestic Cats, Canadian Women’s Labour-Force Participation, and Egyptian Skulls. Size: The size of the dataset is 497MP and contains 7049 facial images and up to 15 key points marked on them. ML Datasets and Projects. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. In this article, we explore machine learning and artificial intelligence projects to boost your interest. Recently, Kaggle started offering it for private projects at no cost and with the option to use private datasets. Team up with people in competitions, or share your notebooks broadly to get feedback and advice from others. Data Link: Recommender systems dataset And in case that’s not enough, Kaggle also hosts many Data Science competitions with … (Plural of "corpus".) Taking part in such competitions allows you to work with real-world datasets, explore various machine learning problems, compete with other participants and, finally, get invaluable hands-on experience. There are more than 100,000 synsets in WordNet where ImageNet provides an average of 1,000 images to illustrate each synset in … Thus, I set up the data directory as DATA_DIR to point to that location. Here, you’ll find a grab bag of topics. Kaggle datasets are an aggregation of user-submitted and curated datasets. Text Classification Datasets. r/datasets – Open datasets contributed by the Reddit community. Top teams boast decades of combined experience, tackling ambitious problems such as improving airport security or analyzing satellite data. The advantages of using Kaggle is it contains datasets from almost every domain and you can find number of kernels relating to each dataset. [34] Walmart recruiting at stores – link [35] Airbnb new user booking predictions – link 4.1 Data Link: Recommender systems dataset This is a portal to a collection of rich datasets that were used in lab research projects at UCSD. One of the popular datasets for Computer Vision projects, ImageNet provides an accessible image database which is organised according to the WordNet hierarchy. Find Open Datasets and Machine Learning Projects | Kaggle Download Open Datasets on 1000s of Projects + Share Projects on One Platform. I’d emphasize learning from others. Download a free version of Dataiku today and try leveraging it to create your own data projects … Find datasets about topics you find interesting and create your own projects to share. Each dataset is a community where in Kaggle Notebooks, you can discuss data, explore public code and techniques, and create your own projects. Import dataset. Kaggle is the most famous platform for Data Science competitions. I am a big fan of using Google Colaboratory for machine learning projects, especially with the free GPU. The images are inside the cell_images folder. With over 20 years of experience in managing a crowd of over 500,000+ linguistic specialists, Lionbridge AI is perfectly placed to provide your model with a solid foundation. Kaggle Datasets. They hope to encourage us to experiment with different algorithms to learn first-hand what works well and how techniques compare. Please note that Kaggle recently announced an Open Data platform, so you may see many new datasets there in the coming months. Kaggle Data Repository; Other data Sets (Excel format) General Social Science Survey 2008. click here for more info; gss2008-short (part 1) Kaggle is a platform for predictive modelling and analytics competitions which hosts competitions to produce the best models. Kaggle Kaggle has come up with a platform, where people can donate datasets and other community members can vote and run Kernel / scripts on them. Well, datasets for NLP really means "loads of real text"! ...Machine Learning is the hottest field in data science, and this track will get you started quickly. Kaggle. Contribute to dstuerzer/Kaggle development by creating an account on GitHub. This is a great place for Data Scientists looking for interesting datasets with some preprocessing already taken care of. Plus, you can learn from the short tutorials and scripts that accompany the datasets. 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