ProjectPro

JUNE 6, 2025

Moreover, the drag-and-drop interface makes it easy for a data analyst to modify computations and analyze various scenarios. Generates faster insights - This Power BI feature provides the user a new and simple way to search for insights in the business data. It offers an easy-to-use drag and drop interface.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Use machine learning algorithms to predict winning probabilities or player success in upcoming matches. They rely on Data Scientists who use machine learning and deep learning algorithms on their datasets to improve such decisions, and data scientists have to count on Big Data Tools when the dataset is huge.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

U-Next

SEPTEMBER 22, 2022

Several vetted models and algorithms are used in the predictive analytics tools in order to generate a large number of useful outcomes that are applicable to a wide range of use cases. . An evaluation of a sequence of data points over a period of time is carried out using this model. Types Of Predictive Models . Random Forest .

Hospitality 40

Hospitality Algorithm Banking Machine Learning 40

AltexSoft

SEPTEMBER 13, 2023

In the world of machine learning , there’s a well-known saying, “An ML model is only as good as the training data you feed it with.” It points out the critical role that data quality plays in the outcomes you get from these algorithms. Watch our video about data preparation for ML tasks to learn more about this.

Engineering 59

Engineering Hospitality Transportation Algorithm 59

Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. Roles & Responsibilities Data analysis: Analyzing data to gain insights and make recommendations. Data preparation: Preparing data so that it can be used by other analysts and decision-makers.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

DECEMBER 26, 2023

Data Analytics is a process where data is inspected, transformed and interpreted to discover some useful bits of information from all the noise and make decisions accordingly. It forms the entire basis of the social media industry and finds a lot of use in IT, finance, hospitality and even social sciences. Why data analytics?

Certification 52

Certification Data Analytics BI AWS 52

ProjectPro

AUGUST 24, 2021

Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc. There are three stages in this real-world data engineering project. The second stage is data preparation.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

AltexSoft

MAY 12, 2021

The most advanced AI algorithms achieved the accuracy of almost 97 percent. Otherwise, let’s proceed to the first and most fundamental step in building AI-fueled computer vision tools — data preparation. Computer vision requires plenty of quality data, diverse in gender, race, and geography. Image labeling by experts.

Medical 72

Medical Healthcare Datasets Machine Learning 72

ProjectPro

JUNE 6, 2025

An approach to performing customer market basket analysis can be done using Apriori and Fp Growth data mining algorithms. Source Code: Market Basket Analysis using Apriori and Fp Growth Algorithms 2) Reducing Manufacturing Failures Product-based companies have the task of ensuring that their products are top of the notch.

Data Analytics 40

Data Analytics Project Insurance Datasets 40