Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. designing an algorithm to improve the efficiency of hospital processes. Investigating the security risks associated with hospital data. Creating a database to store patient information.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

DECEMBER 29, 2023

Data Mining Data science field of study, data mining is the practice of applying certain approaches to data in order to get useful information from it, which may then be used by a company to make informed choices. It separates the hidden links and patterns in the data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JANUARY 18, 2024

These streams basically consist of algorithms that seek to make either predictions or classifications by creating expert systems that are based on the input data. Even Email spam filters that we enable or use in our mailboxes are examples of weak AI where an algorithm is used to classify spam emails and move them to other folders.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Edureka

AUGUST 2, 2023

Organisations and businesses are flooded with enormous amounts of data in the digital era. This information is gathered from a variety of sources, including sensor readings, social media engagements, and client transactions. Raw data, however, is frequently disorganised, unstructured, and challenging to work with directly.

Data Process 52

Data Process Process Data Cleanse Data Mining 52

Knowledge Hut

APRIL 25, 2024

Even analyzing consumer data or live streaming social media plays a vital role in Information Technology. Information Technology is thereby used on a personal level to connect and communicate with other people via playing games, sharing media content, shopping, and of course, being social. They are: 1.

Technology 52

Technology Recruitment Media Cloud Computing 52

ProjectPro

FEBRUARY 16, 2023

The study and pattern of how humans think is the foundation of artificial intelligence, and the algorithm replicates human brain functions. Input Data Structured data from various sources, such as databases, spreadsheets, and ERP systems. Tools OLAP, data visualization, reporting, and dashboards.

Business Intelligence 52

Business Intelligence BI Data Mining Raw Data 52

Edureka

APRIL 17, 2023

Social Media Sentiment Analysis: Social media sentiment analysis involves analyzing social media data to determine the sentiment or opinion of users about a particular product or service. Text Analysis: Text analysis involves analyzing large amounts of text data to identify patterns and insights.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

MAY 31, 2023

For this project, students can analyze data using the Apriori algorithm. The K-means and Hierarchical clustering algorithms are generally used for this project. Machine learning algorithms such as decision trees and logistic regression are used for fraud detection. They can use either Python or R programming languages.

Project 52

Project Datasets Media Python 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. Processing massive amounts of unstructured text data requires the distributed computing power of Hadoop, which is used in text mining projects.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

MARCH 27, 2024

Big data tools are used to perform predictive modeling, statistical algorithms and even what-if analyses. Some important big data processing platforms are: Microsoft Azure. Why Is Big Data Analytics Important? Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

JANUARY 18, 2024

Picture this: every day, we generate a mind-boggling amount of data. From social media posts and online transactions to sensor readings and healthcare records, data is the fuel that powers modern businesses and organizations. Gone are the days of simply collecting and organizing data. Read on to learn more.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Knowledge Hut

JUNE 16, 2023

Machine learning is the domain under artificial intelligence, devoted to using algorithms that help machines learn things like humans. The algorithms use historical data as input to predict the outputs until the machine gains human-like proficiency. Are you looking for free machine-learning tools? is your calling!

Machine Learning 52

Machine Learning Data Mining Algorithm Data Science 52

Knowledge Hut

DECEMBER 27, 2023

Big data is often denoted as three V’s: Volume, Variety and Velocity. Volume : Refers to the massive data that organizations collect from various sources like transactions, smart devices (IoTs), videos, images, audio, social media and industrial equipment just to name a few. Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. Recommendation engines are popular in media, entertainment, and shopping. This type of application is beneficial in searching, mobile application development, and social media apps.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

U-Next

SEPTEMBER 13, 2022

Before we begin, rest assured that this compilation contains Data Science interview questions for freshers as well as early professionals. A multidisciplinary field called Data Science involves unprocessed data mining, its analysis, and discovering patterns utilized to extract meaningful information.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

Knowledge Hut

DECEMBER 26, 2023

A big data company is a company that specializes in collecting and analyzing large data sets. Big data companies typically use a variety of techniques and technologies to collect and analyze data, including data mining, machine learning, and statistical analysis.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Knowledge Hut

JULY 3, 2023

This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

U-Next

JULY 4, 2022

Collecting a large amount of data cannot benefit an organisation if there’s no good way to interpret it. Let’s Know About Data Science. In simple language, data science is analysing data using technology, algorithm, and inferences. Data science helps to find out the resume of the right candidate.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

ProjectPro

NOVEMBER 3, 2021

How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias It becomes difficult to know every nut and bolt of all the application systems when it comes to Data Science. That is primarily because the field of Data Science has quite a lot of subdomains to explore.

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

U-Next

OCTOBER 27, 2022

Modern marketers are turning to Artificial Intelligence marketing strategies that use AI approaches and technologies such as data models, algorithms, and Machine Learning to optimize budgets, tailor content, and personalize the consumer experience. Bidding on Programmatic Media Buys. Here are some things to think about: .

Designing 40

Designing Machine Learning Media Digital Media 40

Databand.ai

DECEMBER 20, 2022

In his role at LendingTree, he works closely with the data engineering team, synthesizes findings from data to provide actionable recommendations, and works with tree-based algorithms. He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

AltexSoft

JULY 27, 2021

By utilizing ML algorithms and data, it is possible to create smart models that can precisely predict customer intent and as such provide quality one-to-one recommendations. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

Knowledge Hut

JULY 31, 2023

The primary aim is to discover how deep learning algorithms can be applied to analyze vast amounts of data, user behavior, product information, contextual factors, etc. By gathering information from real-time data, the model aims to improve accuracy, cut costs, minimize delays, and provide a seamless experience to the users.

Electronics 52

Electronics Deep Learning Big Data Data Mining 52

ProjectPro

JULY 21, 2021

Good knowledge of commonly used machine learning and deep learning algorithms. Strong understanding of statistical techniques used to quantify the results of NLP algorithms. Past experience with utilizing NLP algorithms is considered an added advantage. Hands-on experience with cloud-based platforms such AWS, Azure.

Coding 52

Coding Project Deep Learning Algorithm 52

U-Next

AUGUST 11, 2022

It’s a study of Computer Algorithms, which helps self-improvement through experiences. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. Cybersecurity: Today, every individual has a virtual presence through a social media profile or a business website.

Medical 52

Medical Computer Science Scala Machine Learning 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. Python and R are the best languages for Data Science.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

AltexSoft

MAY 12, 2023

Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc. Social media posts.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

U-Next

AUGUST 25, 2022

A few examples are making a mood analyst focused on social media postings, a stock price prediction, a false news detector, etc. The sentiment classification algorithm examines the phrases in each mobile user’s remark on a particular product and begins matching them with phrases already present in the databases.

Project 40

Project Engineering Medical Healthcare 40

ProjectPro

OCTOBER 16, 2021

It contains codes to support the implementation of machine learning algorithms in Python. Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms. When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

MAY 23, 2015

Table of Contents How Walmart uses Big Data? Inkiru's predictive technology platform pulls data from diverse sources and helps Walmart improve personalization through data analytics. How Walmart uses Big Data? Walmart has a broad big data ecosystem. How Walmart is tracking its customers?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

DECEMBER 26, 2023

Data science is a subject of study that utilizes scientific methods, processes, algorithms, and systems to uproot knowledge and insights from data in various forms, both structured and unstructured. Data science is related to data mining and big data.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. Advanced data scientists can use supervised algorithms to predict future trends.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

MARCH 14, 2014

Organizations across the world are excited about big data and customer analytics not just because the data are big but the potential for companies using big data is huge. Online FM Music 100 nodes, 8 TB storage Calculation of charts and data testing 16 IMVU Social Games Clusters up to 4 m1.large

Hadoop 40

Hadoop Big Data Data Mining Retail 40

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 Healthcare 56

ProjectPro

FEBRUARY 1, 2022

A data science case study is an in-depth, detailed examination of a particular case (or cases) within a real-world context. Data Mining — How did you scrape the required data ? you set up to source your data. At an e-commerce platform, how would you classify fruits and vegetables from the image data?

Data Science 52

Data Science Datasets Banking Machine Learning 52

AltexSoft

AUGUST 10, 2021

When combined with machine learning and data mining , it can make forecasts based on historical and existing data to identify the likelihood of conversion. So, the main difference from traditional lead scoring is the model’s ability to determine more reliable attributes based on expansive data. Predictive lead scoring.

Machine Learning 72

Machine Learning Data Mining Datasets Algorithm 72