AltexSoft

NOVEMBER 15, 2022

To determine when occupancy will be higher and when lower and what prices should be considered for a given period, you can take advantage of machine learning powered by data. Dataset preparation and construction. The starting point of any machine learning task is data. A lot of data, to be exact. Data sources.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

Knowledge Hut

JANUARY 18, 2024

It entails using various technologies, including data mining, data transformation, and data cleansing, to examine and analyze that data. Both data science and software engineering rely largely on programming skills. However, data scientists are primarily concerned with working with massive datasets.

Software Engineering 97

Software Engineering Software Engineer Data Science Engineering 97

ProjectPro

DECEMBER 28, 2021

Allied Market Research estimated the global big data and business analytics market to be valued at $198.08 Managing, processing, and streamlining large datasets in real-time is a key functionality of big data analytics in an enterprise to enhance decision-making. billion by 2030. pre-computed models). Too much theoretical stuff?

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

NOVEMBER 18, 2021

We have developed ten exciting data science case studies to explain how data science is leveraged across various industries to make smarter decisions and develop innovative personalized products tailored to specific customers. We have listed another music recommendations dataset for you to use for your projects: Dataset1.

Data Science 52

Data Science Project Food Pharmaceutical 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Possible Careers: Data analyst Marketing analyst Data mining analyst Data engineer Quantitative analyst 3.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JANUARY 11, 2024

In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset. million people were evacuated in less than 48 hours, thanks to the power of data science. 

Data Science 98

Data Science Transportation Banking Hospitality 98

U-Next

SEPTEMBER 21, 2022

Data warehouse implementation can be difficult and operate as they need specialized skills and knowledge. . What is Data Mining? . Data mining is the systematic assessment of datasets to discover potentially relevant trends and correlations. Some data mining examples in the current industry are: . Marketing

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

U-Next

AUGUST 3, 2022

The following duties are frequently handled by Data Scientists, even though each data research situation is unique and their tasks change based on the project. Gathering data Any Data Science experiment must include data collecting since, without data to work with, one cannot be a Data Scientist.

Data Science 52

Data Science Retail Computer Science Entertainment 52

AltexSoft

MAY 12, 2023

Tools and platforms for unstructured data management Unstructured data collection Unstructured data collection presents unique challenges due to the information’s sheer volume, variety, and complexity. The process requires extracting data from diverse sources, typically via APIs.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52

Snowflake

OCTOBER 24, 2024

It has been implemented in many high-profile use cases with sensitive data, including the 2020 U.S. Census Data Release and Apple’s user data collection , and is highlighted in the 2023 AI Executive Order. It complements data privacy methods that protect data at rest, in motion and in use.

Healthcare 87

Healthcare Medical Datasets Entertainment 87

ProjectPro

MARCH 14, 2014

Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! How big data helps businesses? Companies using big data excel in sorting the growing influx of big data collected, filtering out the relevant information to draw deeper insights through big data analytics.

Hadoop 40

Hadoop Big Data Data Mining Retail 40