RandomTrees

MARCH 10, 2025

Using Data to Gain Future Knowledge In order to evaluate past data and forecast future events, predictive analytics makes use of statistical models, machine learning, and data mining. To adapt its services, a hotel chain evaluated booking patterns and client comments.

Retail 52

Retail Data Governance Hospitality Banking 52

Knowledge Hut

DECEMBER 26, 2023

Budding aspirants and students are constantly looking for reliable data science s, research material, and the top data science books to kickstart their careers in this field. These specialized books will help you gain a comprehensive understanding of the basics and fundamentals of data science to get started.

Data Science 52

Data Science Scala Programming Language R (Programming) 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 11, 2022

Keeping such needs in mind, the author has presented some of the best business analytics books for you to go from beginner to pro! Even business analytics experts have a library of books to expand their horizons. Big Data interpretation relies heavily on Business intelligence (BI) (BI), which is quickly expanding in importance.

BI 40

BI Business Intelligence Entertainment Data Mining 40

ProjectPro

JUNE 6, 2025

However, if you are curious about how they are optimised, we recommend you go through the book mentioned below. Book Recommendation : Mathematics for Machine Learning by Marc Peter Deisenroth, A. The book is available for free for personal use, and you may download it from the above link.

Machine Learning 45

Machine Learning Programming Language Datasets Algorithm 45

ProjectPro

JUNE 6, 2025

Additionally, they must understand data security, such as row-level security and vulnerability. They must also be experts at developing and creating scalable data models and understanding data repositories and processes. SAP Certified Application Associate - SAP BusinessObjects Business Intelligence Platform 4.3

Business Intelligence 40

Business Intelligence Certification BI Data Mining 40

ProjectPro

JUNE 6, 2025

Software Engineer: Skills Software engineers usually have good programming and analytical skills, so they can easily switch to a data scientist job role by focusing on additional skills that a data scientist has. The first and most crucial step is exploring graduation-level mathematics basics.

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

ProjectPro

JUNE 6, 2025

A data engineer can use this library to perform scientific calculations on their data for better analysis. Project Idea: Learn to Build a Polynomial Regression Model from Scratch BeautifulSoup This is a well-known library used for data mining and web scraping. How to Learn Python for Data Engineering?

Data Engineering 40

Data Engineering Data Engineer Python Engineering 40

ProjectPro

JUNE 6, 2025

You can pick any of these cloud computing project ideas to develop and improve your skills in the field of cloud computing along with other big data technologies. For the backend, use Azure Functions to handle ticket bookings and process payments securely with Azure Key Vault for encryption.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

Access Data Science and Machine Learning Project Code Examples Keras vs Tensorflow - A Battle of the Best All the technological advancements are moving towards automation. Right from online shopping, booking tickets, or sending money over the internet, every vertical of technology is leveraging Machine learning and Deep learning models.

Deep Learning 40

Deep Learning Machine Learning Algorithm Healthcare 40

ProjectPro

JUNE 6, 2025

Among these are tools for general data manipulation like Pandas and specialized frameworks like PsychoPy. Python's three most common applications for data analysis include data mining , data processing, modeling, and visualization.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

OCTOBER 28, 2021

However, if you are curious about how they are optimised, we recommend you go through the book mentioned below. Book Recommendation : Mathematics for Machine Learning by Marc Peter Deisenroth, A. The book is available for free for personal use, and you may download it from the above link.

Machine Learning 52

Machine Learning Programming Language Datasets Algorithm 52

Towards Data Science

FEBRUARY 18, 2024

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based.

Kafka 98

Kafka Python Process Google Cloud 98

ProjectPro

JUNE 6, 2025

This model was trained on a dataset of everyday objects called COCO and can identify things like tables, chairs, and books. There is a pre-trained object detection model that has been made open-source called SSD. Dataset: Kaggle Open Images Object Detection Dataset Tools and Libraries: TensorFlow, OpenCV 6.

Project 98

Project Datasets Deep Learning Machine Learning 98

ProjectPro

OCTOBER 6, 2021

Online Book Store System using Google Cloud Platform 15 Sample GCP Real Time Projects for Practice in 2023 With the need to learn Cloud Platform as part of any analytical job role, it is essential to understand the basics and then gain some hands-on experience leveraging the cloud platforms. Technologies like SQL are used on GCP.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

ProjectPro

JUNE 6, 2025

Suppose you have some programming background and knowledge of machine learning algorithms- you can quickly get started in the field of deep learning or natural language processing by reading a beginner-level book on the subject and practicing diverse machine learning and deep learning projects.

Deep Learning 59

Deep Learning Coding Project Portfolio 59

Edureka

APRIL 17, 2023

Data mining and cleaning skills Data mining and cleaning skills are crucial for data analysts. Data mining involves identifying patterns and relationships in large datasets, while data cleaning involves removing errors, inconsistencies, and duplicates in the data.

Data Mining 40

Data Mining Data Analysis Recruitment Machine Learning 40

Knowledge Hut

JULY 31, 2023

It explores techniques to protect sensitive data while maintaining its usefulness for analysis and reporting, considering factors such as data masking algorithms, data classification, and access control mechanisms. Create an outline: Organize your thoughts and main points by creating a detailed outline for your research paper.

Business Intelligence 52

Business Intelligence BI Data Mining Data Collection 52

Knowledge Hut

JANUARY 19, 2024

For beginners in the curriculum for self-study, this is about creating a scalable and accessible data hub. Importance: Efficient organization and retrieval of data. Consolidating data for a comprehensive view. Flexibility in storing and analyzing raw data. Data Mining Data mining is the treasure hunt of data science.

Data Science 52

Data Science Machine Learning Certification Algorithm 52

ProjectPro

OCTOBER 16, 2021

To understand the broad applications of the two libraries in Python, most beginners in machine learning resort to hands-on machine learning with scikit-learn and TensorFlow pdf book. ” The book indeed has a more practical approach than the other academic books in machine learning out there.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

AltexSoft

JULY 27, 2021

For example, there are two users with quite similar interests in books. Goodreads leverages user-user collaborative filtering for making book recommendations. This type of CF uses machine learning or data mining techniques to build a model to predict a user’s reaction to items. How collaborative filtering sets a problem.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

ProjectPro

MARCH 14, 2014

Online FM Music 100 nodes, 8 TB storage Calculation of charts and data testing 16 IMVU Social Games Clusters up to 4 m1.large 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 is used at eBay for Search Optimization and Research.

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

U-Next

AUGUST 16, 2022

Not to forget, the enthusiastic Python users and students participate in the evolution of the language by writing in-depth lessons and how-to books and adding things to ready-to-use code libraries. Since it is a greater language of programming, it is more similar to different spoken languages, particularly English, than the competitors.

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

Knowledge Hut

SEPTEMBER 6, 2023

Statistical Knowledge : It is vital to be familiar with statistical procedures and techniques in order to assess data and form trustworthy conclusions. Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required.

Big Data 52

Big Data Certification Hadoop Generalist 52

ProjectPro

JUNE 6, 2025

Recommender systems are utilized in various areas, including movies, music, news, books , research articles, search queries, social tags, and products in general. In this data engineering project, you will apply data mining concepts to mine Bitcoin using the freely available relative data.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

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

Databand.ai

DECEMBER 20, 2022

He has also completed courses in data analysis, applied data science, data visualization, data mining, and machine learning. Eric is active on GitHub and LinkedIn, where he posts about data analytics, data science, and Python.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Striim

JULY 10, 2024

The success of your predictive analytics tools hinges upon the quality and comprehensiveness of your data. To ensure your team leverages the most current data, data streaming is essential. Book a demo with us today to see for yourself the difference Striim can make for your team.

Management 52

Management Transportation High Quality Data Machine Learning 52

ProjectPro

MAY 23, 2015

Use market basket analysis to classify shopping trips Walmart Data Analyst Interview Questions Walmart Hadoop Interview Questions Walmart Data Scientist Interview Question American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

Knowledge Hut

JANUARY 22, 2024

To put this in perspective, it is estimated that the entire contents of books printed ever hold 10 terabytes of data in all printed materials. So, one exabyte could hold 100,000 times the printed material, or 500 to 3,000 times the entire contents of the books printed, and we produce 3.3 exabytes of data every month!

Data Science 52

Data Science Banking Insurance Big Data 52

ProjectPro

JULY 15, 2021

Online Book Store System This one comes under the public cloud computing projects category, and its goal is to create an online bookstore system. Independent book store and Oxford book store are some of the online book store systems deployed as a public cloud service.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

FEBRUARY 7, 2023

Aside from that, users can also generate descriptive visualizations through graphs, and other SAS versions provide reporting on machine learning, data mining, time series, and so on.  SAS’s free resources, books and technical documentation along with a few YouTube SAS tutorials are a good place to start learning.

Data Science 52

Data Science Datasets SQL Certification 52

U-Next

DECEMBER 2, 2022

This community has resulted in a wealth of resources, including a wide variety of books, websites, and online forums. Python is a versatile language used in web development, scientific computing, data mining, artificial intelligence, and more. . It is beginner-friendly and has many advanced features for experienced programmers.

Machine Learning 40

Machine Learning Data Science Python Programming Language 40

ProjectPro

JULY 21, 2021

To discover a language, you don’t always have to travel to that city, you might even come across a document while browsing through websites on the Internet or going through books in your library and may have the curiosity to know which language it is. This NLP Project is all about quenching your curiosity only.

Coding 52

Coding Project Deep Learning Algorithm 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 Education Computer Science 52

ProjectPro

JULY 23, 2021

Access Data Science and Machine Learning Project Code Examples Keras vs Tensorflow - A Battle of the Best All the technological advancements are moving towards automation. Right from online shopping, booking tickets, or sending money over the internet, every vertical of technology is leveraging Machine learning and Deep learning models.

Deep Learning 40

Deep Learning Machine Learning Algorithm Healthcare 40

ProjectPro

JULY 7, 2021

Suppose you have some programming background and knowledge of machine learning algorithms- you can quickly get started in the field of deep learning by reading a beginner-level book on the subject and practicing diverse machine learning and deep learning projects. Why build deep learning projects?

Deep Learning 40

Deep Learning Project Portfolio Recruitment 40