U-Next

FEBRUARY 26, 2023

Data Science is a broad term that encompasses many different disciplines, such as Machine Learning, Artificial Intelligence (AI), Data Visualization, Data Mining, etc. Many types of Data Scientists with different specialties can help your business get the necessary solutions. Average Salary per annum: INR 12.2

Data Science 98

Data Science Machine Learning Consulting Food 98

U-Next

AUGUST 11, 2022

In his book “Microsoft Excel Data Analysis and Business Modeling,” the honourable author Wayne L. Winston walks readers through the fundamental principles of Microsoft Excel Data Analysis and Business Modeling as well as how to use the program’s most recent tools.

BI 40

BI Business Intelligence Big Data Entertainment 40

ProjectPro

OCTOBER 16, 2021

Hands-On Machine Learning with Scikit-learn and TensorFlow: The Introduction Scikit-learn is the go-to machine learning library for Data Scientists who work with Python programming language. Dataset: This project’s dataset has transactions made using European credit cards in September 2013.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

MAY 23, 2015

” –said Walmart’s CEO of global e-commerce in 2013. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Walmart was the world’s largest retailer in 2014 in terms of revenue. “Our ability to pull data together is unmatched”- said Walmart CEO Bill Simon.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 27, 2014

An industry in big data, if seen with a top down approach to understand the Hadoop jobs offered, we can tear it down and say, that at top we find Hadoop Architect’s job who designs how the system should work. Later, Hadoop Developer's job is to actually write programs and bring the visions of Hadoop Architect to reality.

Hadoop 40

Hadoop Big Data Java Data Mining 40

ProjectPro

APRIL 2, 2015

Big data and Retail Industry A survey conducted in June 2013 by Gartner predicts that the Big Data spending in Retail Analytics will cross the $232 billion mark by 2016. Placing the two products together merely eliminates the choice of the customer and subtly influences the purchase behavior.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

JANUARY 15, 2021

Predicting customer churn will help banks develop retention campaigns and loyalty programs to retain customers. It is a challenging dataset to work with as it has imbalanced data because most of the transactions are not fraudulent making it difficult to detect the fraudulent ones.

Machine Learning 40

Machine Learning Datasets Retail Banking 40