Stock Prediction using Machine Learning works to predict upcoming worth of stocks for an organization. The Prediction is based on the values of previous and current stocks. In addition, it has a great feature of predicting stocks and giving specific output to…
Jan 22, 2026 · Deliverability to Outlook.com is based on your reputation. The Outlook.com Smart Network Data Services (SNDS) gives you the data you need to understand and improve your …
A data store is a repository for persistently storing and managing collections of data which include not just repositories like databases, but also simpler
In the last decade, document store database systems have gained more traction for storing and querying large volumes of semi-structured data. However, the flexibility of the document stores' data models has limited their ability to store data in a co...
The objective of this study is to predict suicidal and non-suicidal deaths from DNA methylation data using a modern machine learning algorithm. We used support vector machines to classify existing secondary data consisting of normalized values of met...
QUERY(A2:E6,F2,FALSE) Syntax QUERY(data, query, [headers]) data - The range of cells to perform the query on. Each column of data can only hold boolean, numeric (including date/time types) or …
This repository includes my project, done during a Data Science Internship (⭐ 45)
Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visualizing petabyte-scale datasets on cloud storage. They allow organizatio...
Due to the variety of its target use cases and the large API surface area to cover, a data lakehouse (DLH) is a natural candidate for a composable data system. Bauplan is a composable DLH built on "spare data parts" and a unified Function-as-a-Servic...
Relational Database Management Systems designed for Online Analytical Processing (RDBMS-OLAP) have been foundational to democratizing data and enabling analytical use cases such as business intelligence and reporting for many years. However, RDBMS-OL...
Demos to implement your Databricks Lakehouse (⭐ 406)
business value within the enterprise, not a technology outcome. Data lakehouses are a hybrid approach that can ingest a variety of raw data formats like
Sep 11, 2020 · Find U.S. and Canadian rig count and drilling data, and use Oilprice.com's graphing tools to compare oil prices, frac spread, production and drilling data per basin or province.
You can view a summary of the Google services you use and the data saved in your Google Account. Step 1: View an overview of your data Find Google services you used while signed in to your account.
DolphinDB Grafana DataSource (⭐ 13)
Baseline generation for tracking applications is a difficult task when working with real world radar data. Data sparsity usually only allows an indirect way of estimating the original tracks as most objects' centers are not represented in the data. T...
Jan 26, 2017 · I have following data and code to round selected columns of this data.table: mydf = structure (list (vnum1 = c (0.590165705411504, -1.39939534199836, 0.720226053660755, …
A database connection is a facility in computer science that allows client software to talk to database server software, whether on the same machine or
There is an abundance of temporal and non-temporal data in banking (and other industries), but such temporal activity data can not be used directly with classical machine learning models. In this work, we perform extensive feature extraction from the...
Homepage for the National Football League's Big Data Bowl (⭐ 149)