ProjectPro

OCTOBER 26, 2021

ML developers apply it in customer intelligence, analyzing insurance, advertising technology, risk analysis, healthcare, fraud analysis, etc. WEKA It is a bundle of data mining & machine learning algorithms , which developers can directly implement with data sets. Pros of Using H2O H2O is customizable.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Some amount of experience working on Python projects can be very helpful to build up data analytics skills. 3) Insurance Pricing Forecast Insurance comes in many forms-motor, property, travel, health to name a few.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Edureka

APRIL 17, 2023

Fraud Detection: Fraud detection involves using data analytics techniques to identify fraudulent transactions or activities. This could include analyzing credit card transactions to identify suspicious activity or analyzing insurance claims data to detect fraudulent claims.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

NOVEMBER 16, 2023

Java or J2E and Its Frameworks Java or J2EE is one of the most trusted, powerful and widely used technology by almost all the medium and big organizations around domains, like banking and insurance, life science, telecom, financial services, retail and much, much more.

Technology 98

Technology MySQL MongoDB Google Cloud 98

ProjectPro

DECEMBER 10, 2021

Business Intelligence refers to the toolkit of techniques that leverage a firm’s data to understand the overall architecture of the business. This understanding is achieved by using data visualization , data mining, data analytics, data science, etc. methodologies.

Business Intelligence 52

Business Intelligence Coding Project BI 52

U-Next

SEPTEMBER 29, 2022

The algorithm includes a number of calculations necessary for AI and data mining assignments, such as bunching, relapse, and order. A business-oriented Artificial Intelligence tool that helps users draw insights from data and make decisions based on it. The library extends NumPy and SciPy, two essential Python libraries. .

Management 52

Management Machine Learning Deep Learning Algorithm 52

Knowledge Hut

JANUARY 19, 2024

You will learn about data management, data optimization, predictive modeling, & machine learning. This specialization will prepare you for a career in business intelligence, data mining, & data analysis.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

U-Next

SEPTEMBER 21, 2022

Read this article to learn how a massive amount of data is collected, organized, and processed to extract useful information using data warehousing and data mining. You will also understand the Difference between Data Warehousing and Data Mining in a detailed manner. . What Is Data Warehousing? .

Data Mining 40

Data Mining Data Warehouse Business Intelligence Retail 40

ProjectPro

DECEMBER 14, 2021

AutoML Cashflow Optimization for Insurance Company 8. Airport Authority Data Analysis 12. Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data models created in R may be easily integrated into Power BI dashboards and turned into visualizations.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

MARCH 16, 2015

Explorys uses Hadoop technology to help their medical experts analyze data bombardments in real time from diverse sources such as financial data, payroll data, and electronic health records. In such circumstances, the data and the outcomes are always dynamic and changing.

Healthcare 40

Healthcare Big Data Project Hospitality 40

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

JUNE 30, 2016

Indian Big Data Analytics Market worth 2+ Billion By 2017-2018, India alone will be a major shareholder of the overall big data analytics market worth $2.3 ” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

MARCH 14, 2014

Healthcare industries are using big data analytical capabilities to make better sense of changing healthcare environment by providing personalized medicine, cancer treatment and genomics, monitoring patient vitals, fraud prevention and detection of healthcare insurance, etc. Hadoop is used at eBay for Search Optimization and Research.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

JULY 13, 2015

. “Hadoop's ability to store vast volumes of unstructured data allows the company to collect and store web logs, transaction data and social media data. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

MARCH 15, 2016

Hadoop allows us to store data that we never stored before. Big Data and Hadoop technology is also applied in the Healthcare Insurance Business.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Here is a list of questions you might ask if you are being interviewed for a financial institution - Does the dataset include all transactions from Bank or transactions from some specific department like loans, insurance, etc.?

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

AUGUST 24, 2021

A related example is when a vendor or insurer wants to know the number of products that will be returned because of failures. This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? Sectors that Employ Data Scientists.

Retail 52

Retail Data Science Computer Science Entertainment 52