Edureka

JANUARY 23, 2023

The use of data by companies to understand business patterns and predict future occurrences has been on the rise. With the availability of new technologies like machine learning, it has become easy for experts to analyse vast quantities of information to find patterns that will help establishments make better decisions.

Data Mining 52

Data Mining Banking Retail Medical 52

Knowledge Hut

MARCH 15, 2024

What Does a Machine Learning Engineer Do? Businesses are gradually understanding the importance of machine learning and software automation. Globally, almost 69 million new machine learning job positions are expected to open up by 2027. If you are interested in learning more, please continue reading.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Table of Contents What is a dataset in machine learning?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

Knowledge Hut

MAY 3, 2024

If you are thinking of a simple, easy-to-implement supervised machine learning algorithm that can be used to solve both classifications as well as regression problems, K-Nearest Neighbors (K-NN) is a perfect choice. Learning K-Nearest Neighbors is a great way to introduce yourself to machine learning and classification in general.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

ProjectPro

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. The dataset has three files, namely features_data, sales_data, and stores_data.

Data Mining 40

Data Mining Coding Project Datasets 40

U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

Machine Learning 52

Machine Learning Deep Learning Algorithm Data Mining 52

Knowledge Hut

JANUARY 18, 2024

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Nonetheless, Naive Bayes remains a valuable tool, offering accurate outcomes with minimal training data. Join me as we navigate the key aspects of Naive Bayes in the professional field of machine learning.

Machine Learning 52

Machine Learning Algorithm Datasets Python 52

U-Next

OCTOBER 16, 2022

The KDD process in data mining is used in business in the following ways to make better managerial decisions: . Data summarization by automatic means . Analyzing raw data to discover patterns. . This article will briefly discuss the KDD process in data mining and the KDD process steps. . What is KDD?

Data Mining 40

Data Mining Process IT Raw Data 40

ProjectPro

JUNE 22, 2021

This blog will help you master the fundamentals of classification machine learning algorithms with their pros and cons. You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, without much ado, let's dive in.

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Machine Learning Algorithm Datasets Project 72

ProjectPro

DECEMBER 21, 2021

Did you know that the global machine learning market, according to Fortune Business Insights, is expected to reach a whopping $152.24 Machine learning, unlike other fields, has a global reach when it comes to job opportunities. This includes knowledge of data structures (such as stack, queue, tree, etc.),

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

MAY 30, 2024

Big Data Analytics in the Industrial Internet of Things 4. Machine Learning Algorithms 5. Data Mining 12. But what is machine learning exactly, and what are some of its practical uses and future research directions? Evolutionary Algorithms and their Applications 9. Artificial Intelligence (AI) 11.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

ProjectPro

OCTOBER 28, 2021

In this blog, we have mentioned all the topics that are considered as prerequisites for learning machine learning. We have covered all the subjects and the best resources that will help you learn them thoroughly. Machine learning is no exception to that. Why should you learn Machine learning?

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

OCTOBER 26, 2021

There is no “one-size-fits-all” machine learning framework for model building. Data scientists and machine learning engineers use various machine learning tools and frameworks to build production-ready models. Table of Contents What are Machine Learning Frameworks?

Machine Learning 52

Machine Learning Programming Language Deep Learning Healthcare 52

ProjectPro

OCTOBER 16, 2021

TensorFlow and Scikit-learn, two of the most popular words from the jargon of the Machine Learning world! If you are wondering what is the reason behind their popularity, continue reading as we answer that question in this blog by exploring hands-on machine learning with Scikit-learn and TensorFlow.

Machine Learning 52

Machine Learning Deep Learning Datasets 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. It is because these apps render machine learning models that try to understand the customer's taste. can help you model such machine learning projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

U-Next

AUGUST 25, 2022

Artificial Intelligence is indeed the science of Machine Learning. Making people aware of current Machine Learning models and developments and enabling them to comprehend original data is the main goal of Machine Learning cheat sheets. How Does Machine Learning Work? Supervised Learning.

Machine Learning 40

Machine Learning Algorithm Data Mining Utilities 40

Knowledge Hut

DECEMBER 29, 2023

Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization. It separates the hidden links and patterns in the data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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. You will also learn top Machine Learning interview questions along the way! . According to the US Bureau of Labor Statistics, Data Science skills will see a 27.9%

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. R is free and open-source software that statisticians and data scientists widely use.

Machine Learning 40

Machine Learning Data Science Programming Language Data Mining 40

Knowledge Hut

DECEMBER 26, 2023

Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. These skills are essential to collect, clean, analyze, process and manage large amounts of data to find trends and patterns in the dataset.

Data Science 97

Data Science BI Business Intelligence Machine Learning 97

Knowledge Hut

MAY 2, 2024

It is used in Credit Card Processing, Fraud detection, Machine learning, and data analytics, IoT sensors, etc Cost As it is part of Apache Open Source there is no software cost. Spark can be used interactively also for data processing. Spark is 10-100 times faster because of in-memory processing and its caching mechanism.

Hadoop 96

Hadoop Scala Datasets Java 96

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.

Machine Learning 72

Machine Learning Data Mining Algorithm Datasets 72

ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

FEBRUARY 1, 2024

Machine learning (ML) offers just that - an advanced technology to help users find the exact films they want. To ensure that the algorithms used in the system are valid & effective, professionals in the industry aim to achieve certification through a Machine Learning certification exam.

Systems 98

Systems Entertainment Algorithm Datasets 98

ProjectPro

AUGUST 16, 2021

Sending out the exact old traditional style data science or machine learning resume might not be doing any favours in your machine learning job search. With cut-throat competition in the industry for high-paying machine learning jobs, a boring cookie-cutter resume might not just be enough.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

U-Next

MARCH 7, 2023

Define Data Wrangling The process of data wrangling involves cleaning, structuring, and enriching raw data to make it more useful for decision-making. Data is discovered, structured, cleaned, enriched, validated, and analyzed. Values significantly out of a dataset’s mean are considered outliers. What is OLAP?

Data Mining 96

Data Mining Scala Government Data Governance 96

Knowledge Hut

JANUARY 18, 2024

This can sometimes cause confusion regarding their applications in real-world problems and for learning purposes. The key connection between Data Science and AI is data. Some may argue that AI and Machine Learning fall within the broader category of Data Science , but it's essential to recognize the subtle differences.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Knowledge Hut

AUGUST 16, 2024

The most common degrees that Data Scientists have are Statistics and Mathematics (32%), Business and Economics (21%), Computer Science (19%), and Engineering (16%). Mathematics / Stastistical Skills While it is possible to become a Data Scientist without a degree, it is necessary to have Mathematical skills to become a Data Scientist.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 52

Knowledge Hut

MAY 23, 2024

BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. For professionals and companies, BigML is a tool that can help blend data science and machine learning projects for various business operations and processes.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

DECEMBER 28, 2023

Hadoop is a popular open-source framework that stores and processes large datasets in a distributed manner. Organizations are increasingly interested in Hadoop to gain insights and a competitive advantage from their massive datasets. Hadoop can store data and run applications on cost-effective hardware clusters.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

JANUARY 18, 2024

Data science is the study of huge amounts of data using current tools and methodologies to discover previously unknown patterns, extract valuable information, and make business choices. To create prediction models, data scientists employ sophisticated machine learning algorithms. Clean up the data.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

Knowledge Hut

MAY 9, 2024

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. Average Annual Salary of Big Data Engineer A big data engineer makes around $120,269 per year.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. Not only will you learn how to create a user interface, but you'll also gain experience with databases and newsfeed algorithms. To get started, you'll need to gather data from a variety of sources.

Computer Science 111

Computer Science Coding Project Hospitality 111

Knowledge Hut

JANUARY 19, 2024

Acknowledging the escalating demand for data scientists, institutions globally are intensifying efforts to provide comprehensive training aligned with the Data Science Course Syllabus. Exploring data science, I focus on key topics like statistical analysis, machine learning, data visualization, and programming in my course syllabus.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

JUNE 10, 2024

It provides a comprehensive set of tools for Data Mining, Machine learning, and Natural Language Processing. It also supports both vectorized and parallel computing, which is essential for working with large datasets. Scikit-Learn Scikit-Learn is one of the best Python Data Science frameworks for Machine learning.

Data Science 52

Data Science Python Deep Learning Machine Learning 52

Knowledge Hut

APRIL 19, 2023

This article will help you understand what data aggregation is, its levels, examples, process, tools, use cases, benefits, types, and differences between data aggregation and data mining. If you would like to learn more about different data aggregation techniques check out a Data Engineer certification program.

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Process Data Mining Aggregated Data Portfolio 59