Edureka

APRIL 17, 2023

In today’s data-driven world, data analytics plays a critical role in helping businesses make informed decisions. As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. What is the Role of Data Analytics?

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

NOVEMBER 27, 2023

Understanding what defines data in the modern world is the first step toward the Data Science self-learning path. There is a much broader spectrum of things out there which can be classified as data. This is important because this will help you understand what areas to focus on while following the Data Science Learning Path.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

OCTOBER 27, 2023

No matter if you're just a beginner, intermediate, or advanced Power BI user, you can build up your portfolio by doing these projects. Power BI projects cover a wide range of industries and data analysis scenarios, allowing you to gain experience in different contexts. Practice Dataset Student Result 5.

BI 52

BI Project Datasets Healthcare 52

Knowledge Hut

APRIL 23, 2024

Go for the best Big Data courses and work on ral-life projects with actual datasets. Big Data Use Cases in Industries You can go through this section and explore big data applications across multiple industries. Real-time Data Processing and Decision-making: It is made possible by cloud-based big data analytics tools.

Big Data 52

Big Data Retail Recruitment Transportation 52

AltexSoft

DECEMBER 15, 2021

The University of Pittsburgh Medical Center, or UPMC for short, sprawls across 40 hospitals and provides services in various specialty areas, including living donor liver transplants (LDLT.) feature engineering or feature extraction when useful properties are drawn from raw data and transformed into a desired form, and.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

ProjectPro

OCTOBER 18, 2021

Datasets like Google Local, Amazon product reviews, MovieLens, Goodreads, NES, Librarything are preferable for creating recommendation engines using machine learning models. They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

OCTOBER 27, 2021

The banking and finance industry generates enormous amounts of data related to transactions, billing, and payments from customers, which can provide accurate insights and predictions to be fed to machine learning models. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data.

Finance 52

Finance Machine Learning Project Banking 52