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 Datasets Algorithm 52

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

ProjectPro

JULY 15, 2021

From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate. Practicing diverse real-world hands-on cloud computing projects is the only way to master related cloud skills if you want to land a top gig as a cloud expert.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

SEPTEMBER 6, 2023

Why Should You Take Big Data Certification? Taking Big Data Certification has multifold benefits. It would immensely help people who are working with big data technologies, want to switch into big data technologies, and even other software professionals in terms of technological-awareness.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JANUARY 22, 2024

Financial technology, popularly referred to as FinTech, is one of the fastest-growing areas of technological innovation and is popular with venture capitalists. FinTech refers to a set of technologies that focus on new ways of providing banking and financial services to consumers. exabytes of data every month!

Data Science 52

Data Science Banking Big Data Insurance 52

ProjectPro

OCTOBER 28, 2021

These include Handwriting Recognition System , Credit Card Fraud Detection System , Sales Forecasting Project , Stocks Price Prediction , etc. However, if you are curious about how they are optimised, we recommend you go through the book mentioned below. Again, this book is free to download, and you can access it using the above link.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. All the numbers presented above suggest that there will be a huge demand for people who are skilled at implementing AI-based technologies.

Coding 52

Coding Project Deep Learning Algorithm 52

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. The distinctions are in the technological stack, the expertise needed for an AI-based project, and the requirement for in-depth analysis.

Deep Learning 52

Deep Learning Python Programming Language Machine Learning 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JULY 7, 2021

Why build deep learning projects? Finally, this article will take you through 15 cool deep learning projects you can build as a beginner in the industry. Why build deep learning projects? 15 Deep Learning Project Ideas for Beginners in 2023 1. Why build deep learning projects? Cat vs. Recommender System 14.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40

ProjectPro

AUGUST 5, 2021

There are a variety of AI projects you can do to gain a grasp of these libraries. If you are looking to break into AI and don’t have a professional qualification, the best way to land a job is to showcase some interesting artificial intelligence projects on your portfolio or show your contributions to open-source AI projects.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JULY 30, 2021

But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig. These ML projects cover a broad range of machine learning skills plus they can be reused to suit your business use case.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer. Table of Contents How working on Hadoop projects will help professionals in the long run?

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

FEBRUARY 7, 2023

Big organizations and experts employ SAS for their data science projects due to its high reliability. Despite the availability of competing open-source technologies, SAS remains favoured by companies. Hence, data cleaning is an important step in the data science project workflow. 

Data Science 52

Data Science Datasets SQL Data Mining 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 for Data Science . Python is often regarded as one of the most effective and popular technologies for addressing data science-related challenges. . Python for Machine Learning .

Machine Learning 40

Machine Learning Data Science Python Programming Language 40

ProjectPro

JULY 23, 2021

Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects Key Features of Keras Keras is an API-based tool that is way more Pythonic. It helps in the rapid experimentation of projects that offer fast market-ready projects. It has fewer projects available online than that of TensorFlow.

Deep Learning 40

Deep Learning Machine Learning Algorithm Datasets 40

AltexSoft

JULY 27, 2021

They call their recommendation approach the Music Genome Project, in which songs are classified based on a set of their genes (musical traits). For example, there are two users with quite similar interests in books. Goodreads leverages user-user collaborative filtering for making book recommendations. Data analysis.

Machine Learning 76

Machine Learning Systems Algorithm Deep Learning 76

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. Deadlin e: The application deadline is February 1st.

Data Science 52

Data Science Consulting Computer Science Education 52

ProjectPro

MARCH 14, 2014

In 2015, big data has evolved beyond the hype. 87% of companies using big data believe that within next 3 years big data analytics will redefine the competitive landscape of various industries. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio! While only 5.4%

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

MAY 23, 2015

2014 Kaggle Competition Walmart Recruiting – Predicting Store Sales using Historical Data Description of Walmart Dataset for Predicting Store Sales What kind of big data and hadoop projects you can work with using Walmart Dataset? petabytes of unstructured data from 1 million customers every hour. Inkiru Inc.

Big Data 52

Big Data Data Analysis Hadoop Retail 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. Thus, data is the golden goose in machine learning.

Datasets 40

Datasets Machine Learning Retail Banking 40