ProjectPro

JUNE 6, 2025

Synthetic data generation is a technique used to create artificial data that mimics the characteristics and structure of real-world data. Unlike data collected from actual events or observations, synthetic data is generated algorithmically, often through advanced models and simulations.

Healthcare 40

Healthcare Medical Datasets Finance 40

Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

ProjectPro

JUNE 6, 2025

Moving Average Time Series Examples Now, we can look at real-world time series projects where you can apply the moving average method to time series data. Still, the MA model can also look at past data and predict the nature of the tourist crowd in the next month. What is the moving average model used for?

Hospitality 40

Hospitality Data Science Machine Learning Datasets 40

Knowledge Hut

DECEMBER 21, 2023

The data collected from IoT devices can be used to improve decision-making, optimize processes, and enhance customer experiences. This can be done by analyzing customer data, such as purchase history and browsing behavior, and using machine learning algorithms to generate personalized recommendations.

Coding 98

Coding Transportation Medical Hospitality 98

AltexSoft

JUNE 16, 2022

Various machine learning models — whether these are simpler algorithms like decision trees or state-of-the-art neural networks — need a certain metric or multiple metrics to evaluate their performance. The first ones involve data collection and preparation to ensure it’s of high quality and fits the task. MAE, MSE, and.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

AltexSoft

OCTOBER 18, 2022

No wonder publicly available health datasets are relatively rare and attract much attention from researchers, data scientists, and companies working on medical AI solutions. Below, we’ll explore data collections the Internet has to offer and the practical tasks they help solve. Clinic and hospital datasets. Source: MURA.

Medical 52

Medical Datasets Machine Learning Hospitality 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. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

AltexSoft

FEBRUARY 21, 2023

This blog post will delve into the challenges, approaches, and algorithms involved in hotel price prediction. Hotel price prediction is the process of using machine learning algorithms to forecast the rates of hotel rooms based on various factors such as date, location, room type, demand, and historical prices.

Hospitality 52

Hospitality Algorithm Machine Learning Datasets 52

ProjectPro

JUNE 6, 2025

Generates faster insights - This Power BI feature provides the user a new and simple way to search for insights in the business data. By using complex algorithms, a user can glean exciting insights from various subsets of a data set. The tool has 490+ data connectors and can analyze raw data from more than 800 sources.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

AltexSoft

SEPTEMBER 19, 2023

Company’s booking website and mobile app allow you to track and collect a wealth of data, from web traffic information to user behavioral metrics (session duration, navigation paths, etc.), For instance, a notable expert in this domain, OAG , has a suite of air-related datasets, including historical flight data spanning 20 years.

Hospitality 52

Hospitality Machine Learning Data Governance BI 52

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

Edureka

AUGUST 2, 2023

What does a Data Processing Analysts do ? A data processing analyst’s job description includes a variety of duties that are essential to efficient data management. They must be well-versed in both the data sources and the data extraction procedures.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

DECEMBER 21, 2023

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing Cloud computing research topics are getting wider traction in the Cloud Computing field. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

Snowflake

APRIL 20, 2023

The company’s data is highly accurate, which makes deriving insights easy and decision-making truly fact based. Data access is daily and seamless, another significant benefit in the industry’s competitive landscape. Ambee’s environmental data combines data from on-ground sensors, satellites, and multiple open sources.

Medical 59

Medical Retail Pharmaceutical Python 59

Knowledge Hut

FEBRUARY 11, 2023

Skills required- Basic HTML and CSS Good understanding of search engine algorithms Fair knowledge of SEO tools Content writing Analytical mindset Troubleshooting Excellence in Google site mapping Career Growth opportunities- SEO has remained a methodology to rank a website higher in search engine rankings and bring organic traffic.

Media 52

Media Food Recruitment Hospitality 52

AltexSoft

SEPTEMBER 21, 2023

Logstash is a server-side data processing pipeline that ingests data from multiple sources, transforms it, and then sends it to Elasticsearch for indexing. Fluentd is a data collector and a lighter-weight alternative to Logstash. It is designed to unify data collection and consumption for better use and understanding.

Engineering 52

Engineering NoSQL Java Programming Language 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

Knowledge Hut

DECEMBER 27, 2023

An MBA in Hospitality and Tourism is one wise choice to go for. A career in Data Science Data Science is a study interrelated and disciplinary field that employs maths, science algorithms, advanced analytics, and Artificial Intelligence(AI). It will help you land a job role in the following categories.

Banking 52

Banking Recruitment Finance Portfolio 52

ProjectPro

AUGUST 24, 2021

Learn how to use various big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop for real-time data aggregation. 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.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JUNE 6, 2025

You don't have to remember all the machine learning algorithms by heart because of amazing libraries in Python. Various hospitals and healthcare systems are now using AI and ML apps in cardiology and others. Sensor technology will capture real-time sensor data, such as the heart rate of a person.

Project 45

Project Banking Datasets Machine Learning 45

ProjectPro

JULY 10, 2021

Various hospitals and healthcare systems are now using AI and ML apps in cardiology and others. An ECG anomaly detection system can be built based on time series analysis using Brute Force or Heuristics discord discovery algorithms to identify anomalies in the ECG. Facebook's core data science team has come up with this ML algorithm.

Project 40

Project Banking Machine Learning Python 40

Knowledge Hut

JANUARY 11, 2024

Let’s look at the top eight data science case studies in this article so you can understand how businesses from many sectors have benefitted from data science to boost productivity, revenues, and more. Examples of Data Science Case Studies Hospitality: Airbnb focuses on growth by analyzing customer voice using data science.

Data Science 98

Data Science Transportation Hospitality Banking 98

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

Striim

JANUARY 8, 2025

” It hones in on the granular, day-to-day decisions that collectively drive efficiency and effectiveness in real-time environments. For example, consider a hospital seeking to streamline operations. Instead, these teams can leverage business analysts who bring a combination of business understanding and familiarity with data.

BI 52

BI Business Analyst Retail Raw Data 52