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 Programming Language Scala 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! The ease of access to knowledge has increased with the globalisation of the internet. We have instant access to every piece of information. Best Business Analytics Books. Introduction.

BI 40

BI Business Intelligence Entertainment Big Data 40

ProjectPro

JUNE 6, 2025

Machine Learning is receiving so much traction because it reveals insightful facts from a given dataset that would not have been gained access to by using other tools. However, if you are curious about how they are optimised, we recommend you go through the book mentioned below.

Machine Learning 45

Machine Learning Programming Language Datasets Python 45

ProjectPro

JUNE 6, 2025

Project Idea: You might not be able to find a dataset that has a collection of Instagram spam comments, but you can collect the data for this analysis by scraping the web. Access the Instagram API with Python to get unlabelled comments from Instagram. Collect the images, transform them, and train them on top of a pre-trained model.

Project 98

Project Datasets Deep Learning Machine Learning 98

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. more accessible.

Data Analysis Tools 45

Data Analysis Tools Data Analysis BI R (Programming) 45

ProjectPro

JUNE 6, 2025

Cloud computing-based projects will give you adequate exposure and experience in cloud technologies and other essential skills, such as data analytics , business intelligence , and analytical abilities. Project Idea: Create a dataset containing users' issues with storage devices, like HDD failures or data corruption.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JUNE 6, 2025

This test assesses the candidate's proficiency with the SAP BusinessObjects Business Intelligence platform, beginning with the tasks associated with assisting SAP BusinessObjects Business Intelligence platform users and groups in accessing corporate data via the SAP BusinessObjects Business Intelligence platform's web portal.

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. As per Indeed, the average salary of a data scientist is $144,934 per year and that of a software engineer is $122,588.Thus,

Software Engineer 52

Software Engineer Software Engineering Engineering Programming Language 52

ProjectPro

JUNE 6, 2025

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization Key Features of Tensorflow It has extensive community support with developers. Keras got developed from Python itself. Therefore, it is easy to explore, debug, and integrate. It got more mentions than Keras.

Deep Learning 40

Deep Learning Machine Learning Algorithm Healthcare 40

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. This approach works fine for tumbling windows.

Kafka 98

Kafka Python Process Google Cloud 98

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

ProjectPro

OCTOBER 28, 2021

Machine Learning is receiving so much traction because it reveals insightful facts from a given dataset that would not have been gained access to by using other tools. However, if you are curious about how they are optimised, we recommend you go through the book mentioned below.

Machine Learning 52

Machine Learning Programming Language Datasets Algorithm 52

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

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. They manage data access, monitor data quality, and enforce data protection measures.

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. "The Art of Data Science" Roger D. . "Hands-On

Data Science 52

Data Science Machine Learning Certification Algorithm 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 Engineer 59

Data Engineer Data Engineering Project Engineering 59

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 Retail 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. implicit data or behavior data (e.g.,

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

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

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 Big Data Insurance 52

ProjectPro

MARCH 14, 2014

Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data. It includes the employee's data that ranges from performance histories, survey results to salaries.

Hadoop 40

Hadoop Big Data Data Mining Consulting 40

ProjectPro

JULY 15, 2021

SaaS is the most common out of all, and it makes computing services accessible over a mobile/web app. IaaS provides users with access to basic computer infrastructure capabilities. The users can access massive platforms and apps without maintaining large-scale IT infrastructures.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

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

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 Mining Data Science 52

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 library Remote access for data sources such as Azure, SAS catalogue, Hadoop, S3, zip and more. 

Data Science 52

Data Science SQL Datasets Certification 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

ProjectPro

JULY 21, 2021

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization NLP Projects Idea #6 Spam Classification Recall those not-so-good old days of using emails where we used to receive so many junk emails and very few relevant emails.

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 Programming 52

ProjectPro

JULY 23, 2021

Get FREE Access to Machine Learning Example Codes for Data Cleaning, Data Munging, and Data Visualization Key Features of Tensorflow It has extensive community support with developers. Keras got developed from Python itself. Therefore, it is easy to explore, debug, and integrate. It got more mentions than Keras.

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. Access Data Science and Machine Learning Project Code Examples 14.

Deep Learning 40

Deep Learning Project Portfolio Recruitment 40

ProjectPro

AUGUST 5, 2021

You might not be able to find a dataset that has a collection of Instagram spam comments, but you can collect the data for this analysis by scraping the web. Access the Instagram API with Python to get unlabelled comments from Instagram. Pre-trained machine learning models can be accessed in JavaScript through languages like ml5.js

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

AUGUST 24, 2021

Source Code: Real-World Data Engineering Project on COVID-19 Data 10) Movielens Data Analysis for Recommendations Recommender System is a system that seeks to predict or filter preferences according to the user's choices. Ensure that the website has a simple UI and can be accessed by anyone.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Knowledge Hut

DECEMBER 26, 2023

More ways that this data is created are via posting photos and videos, communicating, making comments, etc. When it comes to learning more about it, Big Data books help us learn the various aspects of big data, be it big data management, analytics, data fundamentals, ethics, etc.

Big Data 75

Big Data Data Mining Business Intelligence Certification 75

Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. To develop such an app, you will need to have a strong understanding of computer science concepts such as data structures and algorithms. Source Code: Weather Forecast App 3. Source Code: VPN Project 7.

Computer Science 111

Computer Science Coding Project Hospitality 111

ProjectPro

JUNE 6, 2025

Anomalies in data can occur due to technical glitches or other critical issues and, if not handled properly, can result in incorrect data analysis.

Machine Learning 49

Machine Learning Project Banking Deep Learning 49

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.

Machine Learning 40

Machine Learning Project Banking Deep Learning 40