us population dataset kaggle
Kaggle. In the kaggle home-credit-default-risk competition, we are given the following datasets: Go-to pages for datasets. The data are collected via the Demographic Yearbook census questionnaires. The official UN website has updated the dataset up to 2017. Each measure in the database has entries on: Country (and state for the US) Textual description of the measure Your Home for Data Science. Cutting-edge technological innovation will be a key component to overcoming the COVID-19 pandemic. We have created a 17 category flower dataset with 80 images for each class. This dataset consists of tv shows and movies available on Netflix as of 2019. U.S. General Elections 2018 - Unofficial Returns. 1. Comparing both training and test datasets where column 0 is the training dataset and column 1 is test dataset. The command also prints out the categorical features in both dataets. A solution to mail-order sales Companies in Germany (Udacity Capstone Project) You can find thousands more on Kaggle, a website in which users upload their own datasets for competition. The images have large scale, pose and light variations and there are also classes with large varations of images within the class and close similarity to other classes. Kaggle competition solutions. Chinese Macroeconomic Data — indicators of Chinese economic health. by county. The dataset contains elections from 1976 to 2020. International Greenhouse Gas Emissions – Created by the United Nations, this Kaggle dataset contains Greenhouse Gas Inventory Data from 1990 to 2014. General Election. On their dataset section they show you several articles containing various sources. I have tried different techniques like normal Logistic Regression, Logistic Regression with Weight column, Logistic Regression with K fold cross validation, Decision trees, Random forest and Gradient Boosting to see which model is the best. Kaggle Kaggle … US Name Data Set — contains all names from social security card applications from births that occur after 1879 Feature engineering an important part of machine-learning as we try to modify/create (i.e., engineer) new features from our existing dataset that might be meaningful in predicting the TARGET.. US - A factor with levels No and Yes to indicate whether the store is in the US or not; Algorithms explored. This dataset contains agency summary level data for total and city funded expense actuals. ... US$: 1,285 (2019) GDP, billion current US$: 278.2 (2019) ... language, foreign-born and foreign population. Kaggle—the world’s largest community of data scientists, with nearly 5 million users—is currently hosting multiple data science challenges focused on helping the medical community to better understand COVID-19, with the hope that AI can help scientists in their quest to beat the pandemic. The US National Center for Education Statistics: This site hosts data on educational institutions and education demographics from the US and around the world. Here, we list freely available datasets of any dimension of human behavior (and any other fascinating dataset we came across). Such as the ’11 Best Climate Change Datasets for Machine Learning’ and ‘The 50 Best Free Datasets for Machine Learning’. plt.title('% lower status population vs Price of house') plt.plot() percentage lower status population is low, price of houses are high Use of the Project. Kaggle is one of the most popular data science competitions hub. County-level Socioeconomic Data for Predictive Modeling of Epidemiological Effects. In my analysis I am trying to understand the similarities and differences between men and women users from US and India, since these are the two biggest segments of the respondent population. Since we are in the midst of heated discussions about the 2020 elections, I thought it’d be a good idea to make an analysis of the previous US presidential elections. Source: Kaggle. This dataset contains county-level returns for presidential elections from 2000 to 2016. I started experimenting with Kaggle Dataset Default Payments of Credit Card Clients in Taiwan using Apache Spark and Scala.. The dataset was released under a non-commercial license, meaning it is freely available to the AI research community for non-commercial use and further enhancement. Please help us improve this feature by sending your feedback to hdx@un.org. We see that the training dataset is un balanced and is as large as 570MB with a 121 columns, whereas the test dataset is 90MB with 120 columns as it does not include the TARGET column. Since they are a company build around datasets their recommendations are surely great. The number of respondents who chose someting other than Male/Female is quite […] A scoring model basis: The scope of the problem covered in the solution; Novelty of the idea and innovation; Solution design framework and use of technology; Value realization; Accuracy and reliability US Healthcare Data: Data about population health, diseases, drugs, and health plans have been collected from the FDA drug database and USDA Food composition database in this dataset. These are percent of persons in the same house (no migration), moved but in the same county, moved from a different county but in the same state, moved from a different state in the U.S. and moved from outside the U.S. Table P43: Residence in 1985 for the Population 5 Years and Over-State and County Level of the Census STF3 data was used to create 5 migration variables. The dataset used in this work was obtained from the Kaggle repository ”COVID-19 Radiography Database”. Introduction This is an analysis of the Kaggle 2018 survey dataset. Training a model with this dataset can predict the likeliness of buying a house in an area according to their status, predict the crime rate using the price of houses in an area and many other. For professionals working with any form of data, from machine learning to visualization, the following sites and resources are invaluable for practice. Legend: ... freshness, and quality of dataset Dataset fully matches criteria and is up-to-date Dataset partially matches criteria and/or is not up-to-date No dataset found matching the criteria ... affected population [1] TL/DR: We gather a machine readable dataset related to socioeconomic factors that may affect the spread and/or consequences of epidemiological outbreaks, particularly the novel coronavirus (COVID-19). US Federal Reserve Data — US economic indicators, from the Federal Reserve. Kaggle allows users to find and publish machine learning 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 the data science challenges. ... Building a K-means Clustering Model for Population A/B Testing with BigQuery. Federal Elections. Reference datasets . data.world helps us bring the power of data to journalists at all technical skill levels and foster data journalism at resource-strapped newsrooms large and small. Coalition datasets will be made accessible to the public on the Kaggle website. Let us know if we are missing something! Population Censuses' Datasets (1995 - Present) The United Nations Statistics Division collects from all the National Statistical Offices several population censuses' datasets. Amazon datasets (Registry of Open Data on AWS) Submissions will be judged on. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with … In addition, we are requesting a community of 4.3 million machine learning scientists to answer questions that will focus on capacity management and research studies for COVID-19. ... Luckily for us, Pandas does it all! Nov 6, 2018. In my analysis I am trying to understand the similarities and differences between men and women users from US and India, since these are the two biggest segments of the respondent population. This is an analysis of the Kaggle 2018 survey dataset. Kaggle helps you learn, work and play. MIT Election Data and Science Lab. Latest releases of new datasets and data updates from different sources around the world. With data.world, we can easily place data into the hands of local newsrooms to help them tell compelling stories. Population Policies Datasets in Excel format for all United Nations Member and non-member States, available at mid-decade for the 1970s, 1980s, 1990s and biennially between 2001 and 2013. Step 4: Download dataset from Kaggle. Introduction. [31–33]. Details: Classic dataset on Titanic disaster used often for data mining tutorials and demonstrations Kaggle datasets are the best place to discover, explore and analyze open data. Abstract: Communities within the United States.The data combines socio-economic data from the 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and crime data from the 1995 FBI UCR. The dollar amount fields are rounded to thousands. Which offers a wide range of real-world data science problems to challenge each and every data scientist in the world. 200,000+ Jeopardy Questions This dataset contains all questions and answers from the game show "Jeopardy" from its inception to 2012. Kaggle offers an impressive range ob datasets. The database from this repository consisted of 219 COVID-19 positive images, 1341 normal images, and 1345 viral pneumonia images. Communities and Crime Data Set Download: Data Folder, Data Set Description. The dataset attempts to cover all measures of national significance intended to reduce the transmission of COVID-19, in all the worlds nations. Dataset of COVID-19 containment and mitigation measures v0.2 Background. Google's datasets Search Engine, Kaggle datasets. US House, and governor elections in each state. A decision tree implementation for the carseat sales dataset from Kaggle. This dataset is envisioned to serve the data science, machine learning, and epidemiological modeling … It includes emission levels by country and region for the following gases: carbon dioxide (CO2) When it comes to datasets, expanding your horizons is necessary because the field is so vast. Dr. Flanders said the objective of engaging with a subspecialty society to leverage their unique expertise in developing a high-quality dataset is an effective and useful pathway to follow for future collaborations. The flowers chosen are some common flowers in the UK. I have recently come across the US elections dataset on Kaggle.