Search results
Results From The WOW.Com Content Network
The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...
States of India ranked in order of percentage of families owning a house as per the Census of India 2011. [1] According to Census 2011, Bihar had the highest number of households who owned their houseswith 96.8% households are having houses. National average stands at 86.6%. [1] In States, Sikkim have lowest home ownership 64.5%.
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Housing in India varies from palaces of erstwhile maharajas, to modern apartment buildings in big cities, to tiny huts in far-flung villages. The Human Rights Measurement Initiative [ 1 ] finds that India is doing 60.9% of what should be possible at its level of income for the right to housing .
Defense Secretary Pete Hegseth has announced a major shift in U.S. policy on Ukraine: The way forward, he told allies in Brussels, is to abandon the “illusory goal” of a return to Ukraine’s pre-2014 borders and prepare for a negotiated settlement with Russia, backed up with an international force that won’t include U.S. troops.
Data science involves working with larger datasets that often require advanced computational and statistical methods to analyze. Data scientists often work with unstructured data such as text or images and use machine learning algorithms to build predictive models.
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1]
This is because deep learning models are able to learn the style of an artist or musician from huge datasets and generate completely new artworks and music compositions. For instance, DALL-E is a deep neural network trained on 650 million pairs of images and texts across the internet that can create artworks based on text entered by the user ...