Knowledge Hut

FEBRUARY 11, 2023

Data analysis is a part of the business development and innovation of superior products. Hence, the scope for data analysis is ever-growing. In addition, the data analyst plays a role in identifying potential possibilities for product and business development.

Retail 52

Retail Education Healthcare Data Mining 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

Edureka

APRIL 17, 2023

Overall, data analytics projects for beginners should focus on building foundational skills like data cleaning, data analysis, and data visualization. By completing these projects, you’ll develop a better understanding of how data analytics works and prepare yourself for more advanced projects in the future.

Portfolio 40

Portfolio Data Analytics Project Data Mining 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 Datasets 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

FEBRUARY 8, 2016

Different types, types, and stages of data analysis have emerged due to the big data revolution. Data analytics is booming in boardrooms worldwide, promising enterprise-wide strategies for business success. The main techniques used here are data mining and data aggregation.

Data Mining 56

Data Mining Big Data Medical Data Analytics 56

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 Machine Learning is most commonly used in data analysis and predictive modeling. . This type of learning is used in data mining, natural language processing, and many other applications. .

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 Machine Learning is most commonly used in data analysis and predictive modeling. . This type of learning is used in data mining, natural language processing, and many other applications. .

Cloud Computing 40

Cloud Computing Cloud Algorithm Machine Learning 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

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Loan Application Analysis 10. Airport Authority Data Analysis 12.

BI 52

BI Project Business Intelligence Datasets 52

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

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

ProjectPro

FEBRUARY 1, 2022

Data Mining — How did you scrape the required data ? you set up to source your data. Data Cleaning — Explaining the data inconsistencies and how did you handle them. End to End Data Science Workflow —  Like any other dataset, I will first check for null and understand the % of null values.

Data Science 52

Data Science Datasets Banking Machine Learning 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

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 Retail 52

Knowledge Hut

MAY 23, 2024

Roles: A Data Scientist is often referred to as the data architect, whereas a Full Stack Developer is responsible for building the entire stack. The main difference between these two roles is that a Data Scientist has tremendous expertise in data analysis and knows how to analyze data.

Computer Science 98

Computer Science Java Data Science Certification 98

U-Next

SEPTEMBER 23, 2022

Reframing course material based on data acquired depending on what a student learns and to what extent by real-time monitoring of course components of database is useful to students. As a result of proper data analysis, new developments in grading methods have been created. Components of Database of the Big Data Ecosystem .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Healthcare Data Lake 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. You will first import the credit card fraud data and then perform exploratory data analysis. ggplot will help in visualizing the dataset.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40