Data Science and Machine Learning

Data sets with business data, financial records, statistics and time series.

The Kazakhstan Road Accident Data dataset contains detailed records of traffic accidents in Kazakhstan, including information on accident locations, types, causes, and involved parties. This dataset is valuable for researchers and policymakers aiming to analyze road safety trends, develop prevention strategies, and improve traffic management.

The Price Volume Data for All US Stocks and ETFs dataset provides comprehensive historical pricing and trading volume information for all U.S. stocks and exchange-traded funds (ETFs). This dataset is valuable for financial analysts and investors for conducting market analysis, backtesting trading strategies, and evaluating investment performance.

The MovieLens 20M dataset is a large-scale collection of movie ratings and metadata, containing 20 million ratings from users on various films. It includes information such as movie titles, genres, and user demographics, making it valuable for collaborative filtering, recommendation systems, and data analysis in the field of film and entertainment.

PhysioNet is a comprehensive repository of physiological and clinical data, including datasets related to various health conditions, medical records, and biomedical signals. It provides valuable resources for researchers and clinicians in the fields of health informatics, machine learning, and biomedical engineering, enabling advanced analysis and the development of predictive models for healthcare applications.

The Demographics KZ dataset provides statistical data on the population of Kazakhstan, including information on age, gender, ethnicity, education, and employment. This dataset is valuable for researchers, policymakers, and social scientists for analyzing demographic trends, formulating policies, and conducting studies related to population dynamics in Kazakhstan.

Open Data Kazakhstan is a repository of publicly available datasets covering various sectors, including government, health, education, and transportation. It provides valuable resources for researchers, developers, and policymakers to analyze trends, improve transparency, and enhance decision-making in Kazakhstan.

The IT Jobs in Kazakhstan section features a variety of job opportunities in the information technology sector, including roles in software development, data analysis, cybersecurity, and project management. This resource is valuable for job seekers looking to advance their careers in Kazakhstan's growing tech industry.

QASS (Kazakhstan Automated Statistical System) is a comprehensive platform that provides access to statistical data and reports related to various sectors in Kazakhstan. It offers valuable insights for researchers, policymakers, and analysts to monitor economic, social, and demographic trends, facilitating data-driven decision-making.