ProjectPro

FEBRUARY 8, 2023

Data and data mining methods can therefore help in the earlier detection of heart disease by warning patients about possible infections. Using Kafka to combine messaging, storage, and stream processing, it is possible to automate disease detection by storing and processing historical and current data.

Kafka 52

Kafka Banking Healthcare Medical 52

ProjectPro

FEBRUARY 8, 2016

It is the simplest form of analytics, and it describes or summarises the existing data using existing business intelligence tools. The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

Edureka

AUGUST 2, 2023

Statistical Analyst: Statistical Analysts specialize in applying statistical techniques to analyze data and draw meaningful conclusions. They may conduct hypothesis testing, regression analysis, or data clustering to gain insights into patterns and trends.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

U-Next

AUGUST 11, 2022

Other skills this role requires are predictive analysis, data mining, mathematics, computation analysis, exploratory data analysis, deep learning systems, statistical tests, and statistical analysis. Healthcare: Medical Science involves a huge deal of technology, from medical research to operational equipment production.

Medical 52

Medical Computer Science Machine Learning Scala 52

U-Next

AUGUST 25, 2022

By facilitating patients’ access to immediate healthcare advice and direction from online duly licensed medical practitioners, the smart medical forecasting system seeks to abolish this issue completely. The system needs substantial medical information, including illness symptoms and companion conditions.

Project 40

Project Engineering Medical Healthcare 40

Knowledge Hut

JULY 7, 2023

Applications of Data Mining in Software Engineering Mining Software Engineering Data The mining of software engineering data is one of the significant research paper topics for software engineering, involving the application of data mining techniques to extract insights from enormous datasets that are generated during software development processes.

Software Engineer 52

Software Engineer Software Engineering Engineering Data Mining 52

Knowledge Hut

MARCH 26, 2024

To find patterns, trends, and correlations among massive amounts of data, they leverage their knowledge in machine learning, statistics, and data analysis. Medical Anesthesiologist In Canada, a medical anesthesiologist would be a critical part of the healthcare system.

Medical 52

Medical BI Programming Language Healthcare 52

ProjectPro

JANUARY 19, 2022

Companies frequently hire certified Azure Data Engineers to convert unstructured data into useful, structured data that data analysts and data scientists can use. Data infrastructure, data warehousing, data mining, data modeling, etc.,

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

SEPTEMBER 24, 2024

The study , published in Science in October 2019, concluded that the algorithm was less likely to refer black people than white people who were equally sick, to programmes that aim to improve care for patients with complex medical needs. As a result, millions of black people have not been able to get equal medical treatment.

Hospitality 52

Hospitality Medical Algorithm Government 52

U-Next

SEPTEMBER 23, 2022

Data aggregation and data mining are two essential techniques used in descriptive analytics to analyze historical data and find patterns and trends. Drill-down, data mining, and other techniques are used to find the underlying cause of occurrences. Descriptive Analytics. Diagnostic Analytics.

Data Mining 40

Data Mining Business Analyst Deep Learning Algorithm 40

ProjectPro

MARCH 16, 2015

Big data in healthcare is used for reducing cost overhead, curing diseases, improving profits, predicting epidemics and enhancing the quality of human life by preventing deaths. Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

DECEMBER 17, 2021

Final Submission Deadline: None Prize Money for the first rank: None Kaggle Challenge Link: Store Sales - Time Series Forecasting | Kaggle Medical Image Segmentation Over the past few years, neurodegenerative diseases like Parkinson’s and Alzheimer’s have proven to be fatal and become a cause of disability worldwide.

Data Science 52

Data Science Medical Machine Learning Algorithm 52

Knowledge Hut

FEBRUARY 11, 2023

A data analyst in USA can find an extensive scope in public safety and earn about $56,000 annually. Healthcare Data analysis in healthcare is instrumental in drawing trends in diseases and medicines, allowing medical experts to realize the priority of public health situations and improve the healthcare system.

Retail 52

Retail Education Data Mining Healthcare 52

ProjectPro

MARCH 15, 2016

Hadoop allows us to store data that we never stored before. Healthcare industry leverages Big Data for curing diseases, reducing medical cost, predicting and managing epidemics and maintaining the quality of human life by keeping track of large scale health index and metrics.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Edureka

APRIL 17, 2023

This can be used for applications such as facial recognition, object detection, and medical imaging. Data Mining: Data mining involves extracting insights and patterns from large datasets. This type of project requires knowledge of machine learning algorithms and data mining tools such as Weka or RapidMiner.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

U-Next

SEPTEMBER 29, 2022

From everyday activities such as shopping and content creation to innovative developments such as space exploration and medical research, this time of technological advancement will have an enormous impact on virtually every aspect of life. . There has never been a better time to adopt Artificial Intelligence with tools for AI.

Management 52

Management Machine Learning Deep Learning Algorithm 52

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

ProjectPro

MARCH 17, 2014

Joe Tucci ,CEO of EMC said that big data is best defined by example-“Big data would be the mass of seismic data an oil company accumulates when exploring for new sources of oil,” he said. “It would be the imaging data that a health care provider generates with multiple MRIs and other medical imaging techniques.

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

Knowledge Hut

JANUARY 18, 2024

The Internet of Things (IoT) is an expanding network of interconnected devices, sensors, and systems that collect and exchange data. These devices can range from everyday objects, such as smart thermostats, refrigerators, and light bulbs, to more complex devices, such as industrial machinery and medical equipment.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Knowledge Hut

JANUARY 18, 2024

In my exploration of linear regression models across diverse fields such as ads, medical research, farming, and sports, I've marveled at their versatility. Model overfitting and data mining techniques can also inflate the value of R 2.

Machine Learning 52

Machine Learning Data Mining Medical Datasets 52

U-Next

OCTOBER 27, 2022

AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. This type of learning is used in data mining, natural language processing, and many other applications. . This method allows computers to discover hidden patterns in large datasets by grouping similar items together.

Cloud Computing 40

Cloud Computing Cloud IT Algorithm 40

U-Next

OCTOBER 16, 2022

AI clouds have been used in many domains, such as self-driving cars, medical diagnosis, and speech recognition. This type of learning is used in data mining, natural language processing, and many other applications. . This method allows computers to discover hidden patterns in large datasets by grouping similar items together.

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 40

U-Next

SEPTEMBER 22, 2022

Increasing numbers of businesses are using predictive analytics techniques for everything from fraud detection to medical diagnosis by 2022, resulting in nearly 11 billion dollars in annual revenue. . Predictive Analytics is expected to generate more than six billion dollars in revenue by 2019. What Are Predictive Models? .

Hospitality 40

Hospitality Algorithm Machine Learning Banking 40

ProjectPro

JUNE 26, 2021

Computer Vision Project Idea-10 Medical Image Segmentation Polyps are unusual small clumps of cells inside a human body that usually resemble small, flat bumps or tiny mushroomlike stalks. You can use the model Unet++ for this as it is widely used for Medical Science purposes. So, go ahead, attempt to build this project today.

Project 40

Project Deep Learning Datasets Medical 40

Knowledge Hut

JANUARY 11, 2024

BI is a trending and highly used domain that combines business analytics, data visualization, data mining, and multiple other data-related operations. Businesses use the best practices coming under business intelligence to mine their data and extract the information essential to make significant business decisions.

Business Intelligence 52

Business Intelligence BI Raw Data Media 52

ProjectPro

OCTOBER 18, 2021

Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data). You can leverage these data to create a system that can predict the patient's ailment and forecast the admission.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JULY 23, 2021

Medical science and healthcare devices using AI also leverage TensorFlow to determine accurate solutions. With its growth, the complexity of all the dominant frameworks became a barrier for data science and machine learning engineers. TensorFlow also helps in sales analysis and predict production units required at scale. What is Keras?

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Lastly, once the time series is non-stationary, I will separate train and test data based on the dates and implement techniques like ARIMA or Facebook prophet to train the machine learning model.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

AUGUST 16, 2021

Pairwise Ranking and Sentiment Analysis of Customer Reviews The data set for the project contains over 1600 product reviews for medical products, which have been labelled as informative and non-informative. Intention infers whether a customer is interested or not interested.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

SEPTEMBER 23, 2022

Patients can be given evidence-based treatment that has been identified and prescribed after reviewing previous medical data. In the healthcare industry, wearable gadgets and sensors have been launched that can transmit real-time data to a patient’s electronic health record. Apple is one such technology.

Big Data Ecosystem 40

Big Data Ecosystem Big Data Data Lake Healthcare 40

ProjectPro

JULY 30, 2021

Anomalies in data can occur due to technical glitches or other critical issues and, if not handled properly, can result in incorrect data analysis. Go ahead and master your machine learning skills by trying out these machine learning project ideas to build a job-winning machine learning portfolio!

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

databricks

AUGUST 10, 2023

Across industries, data scientists spend up to 80% of their time trying to properly prepare and cleanse datasets for data mining and artificial.

Medical 98

Medical Data Mining Datasets Data 98

Scott Logic

JANUARY 22, 2025

As we go about our daily lives we generate vast quantities of data, spanning medical, education, travel, the environment and much more. Making this data available via public datasets is a fantastic way to fuel both product and academic innovation. Our data should be open by default.

Data Mining 52

Data Mining Government Medical Datasets 52