Showing posts with the label dataset

Data science project using Kaggle Datasets and Kernels

Cooking a data science project using Kaggle dataset and kernel We are working together to use fresh materials (data), to prepare them using different tools, and to work together with a delicious result - a published dataset and some quiet analysis that we are sharing with the world. Working with dataset and kernel We will pull public data from the city of Los Angeles open data portal, including environmental health violations from restaurants in Los Angeles. So we will create new datasets using the data, and work together on the kernel before releasing it into the world. In this blog you will learn: How to create a new, private, Kaggal dataset from raw data How to share your dataset before making it public to those involved in your collaboration Adding helpers to private kernels How to use helpers in Koggle kernels Data is most powerful when it is reproducible code and shared with experts and the community at large. By placing data and code on a shared, consistent platform, you get the

Quick Draw: the world’s largest doodle dataset

Quick Draw: The world's largest doodle dataset A team at Google set up a dictionary game to make it fun and ended up with the world's largest doodling dataset, and a powerful machine learning model to boot. How did they do it? What is the fast line? "Quick, draw!" Initially at Google I / O in 201, it is a game where one player is encouraged to draw a picture of an object, and the other player must guess what it is. Just like p. In 2017, the Magenta team at Google Research took that step by using this labeled dataset to train the Sketch-RNN model, to predict what the player was portraying, rather than guessing another player. The game is available online, and now over 1 billion hand-drawn doodles have been collected! Let's take a look at some of the drawers from Quick Draw. Here we see broccoli attracted by many players. How do you make broccoli? Notice that the seas are portrayed differently by different players. Image for post It can be fun to browse datasets. If