Knowledge Hut

MAY 1, 2024

This is where Data Science comes into the picture. The art of analysing the data, extracting patterns, applying algorithms, tweaking the data to suit our requirements, and more – are all part s of data science. Data cleaning This is considered as one of the most important steps in data science.

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Algorithm Raw Data Data Science Computer Science 98

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

APRIL 25, 2024

Big data vs machine learning is indispensable, and it is crucial to effectively discern their dissimilarities to harness their potential. Big Data vs Machine Learning Big data and machine learning serve distinct purposes in the realm of data analysis.

Machine Learning 52

Machine Learning Big Data Unstructured Data Data Mining 52

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.

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Data Process Process Data Cleanse Data Mining 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.

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Business Intelligence BI Data Mining Algorithm 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.

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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.

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DareData

SEPTEMBER 14, 2024

These topics are also everywhere on the news and media, and people use the terms interchangeably (I don’t blame them). Managing the expectation of speed and accuracy of algorithms is absolutely crucial. Don’t promise high accuracy / f-score / other metric without seeing the data.

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Data Science Project Management Machine Learning 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.

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Technology Recruitment Media Cloud Computing 52

Knowledge Hut

MAY 31, 2024

Sociological: life, culture, the media, and population. Descriptive Analytics Data aggregation and data mining are essential BA (Business Analytics) elicitation techniques used in descriptive analytics to analyze historical data and find patterns and trends. Economic: Interest rates, the cost of energy, and labor.

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Business Analyst Data Mining Machine Learning Utilities 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.

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Hadoop Project Datasets Big Data 52

Knowledge Hut

AUGUST 16, 2024

This will form a strong foundation for your Data Science career and help you gain the essential skills for processing and analyzing data, and make you capable of stepping into the Data Science industry. Let us look at some of the areas in Mathematics that are the prerequisites to becoming a Data Scientist.

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Data Science Hadoop Unstructured Data Programming Language 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

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.

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Data Analytics Healthcare Machine Learning Algorithm 52

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.

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Machine Learning Project Datasets Algorithm 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.

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Big Data Data Analytics MongoDB Big Data Tools 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 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.

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Big Data Tools Big Data Hadoop Database-centric 59

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.

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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.

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Portfolio Data Science Algorithm Programming Language 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.

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Data Ingestion Google Cloud Pipeline-centric Media 52

U-Next

SEPTEMBER 22, 2022

The concept of predictive modeling can be explained as a form of data mining in which historical data is analyzed to identify patterns or trends, and then that knowledge is used to estimate the future. . Understanding The Types Of Predictive Modeling Algorithms . Benefits of Predictive Modeling . Random Forest .

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Hospitality Algorithm Machine Learning Banking 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.

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Big Data Unstructured Data Amazon Web Services Hadoop 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: .

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Designing Machine Learning Media Digital Media 40

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.

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Machine Learning Systems Algorithm Deep Learning 76

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 25, 2022

They will employ the information in Machine Learning models that individuals and organizations may use after they have a deeper knowledge of the raw and different data formats. The fundamental building block of traditional computing is an algorithm, a written set of instructions that a computer can comprehend and use to solve a given issue.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

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.

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Medical Computer Science Scala Machine Learning 52

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.

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Electronics Deep Learning Big Data Data Analytics 52

U-Next

SEPTEMBER 28, 2022

– Collecting data and finding trends of employee productivity and engagement to better understand existing employee job satisfaction. – Developing a prediction algorithm to identify employees who may be on the verge of quitting. Past events, such as sales and operational data or marketing campaigns, are summarized. .

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Recruitment Algorithm Utilities 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.

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Data Science Certification Business Analyst Machine Learning 97

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.

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Knowledge Hut

JUNE 4, 2024

Examples of Data Visualization in Data Science Here are some popular data visualization examples. Internet websites: Social media analytics websites such as Social Blade and Google Analytics use data visualization techniques to analyze and compare the performance of websites. It is a collection of these skills.

Data Science 40

Data Science Datasets Data Python 40

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?

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Big Data Data Analysis Hadoop Retail 52

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

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.

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