Knowledge Hut

MARCH 15, 2024

Then, as you start working, you will utilize this knowledge to optimize vital ML systems and algorithms. These systems are responsible for ingraining complex algorithms into digitized devices and increasing their processing power. Machine learning engineers execute different tests by analyzing and organizing huge chunks of data.

Machine Learning 52

Machine Learning Engineering Amazon Web Services Algorithm 52

ProjectPro

JULY 21, 2021

15 NLP Projects Ideas to Practice Apart from the skills mentioned above, recruiters often ask applicants to showcase their Project portfolios. Method: The first step to start designing the Sentiment Analysis system would involve performing EDA over textual data. Design NLP-based applications to solve customer needs.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How do you Create a Good Big Data Project?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

NOVEMBER 3, 2021

So, if this seems tempting enough and you wish to explore how to freelance as a data scientist, move ahead to the next section of this blog, where we discuss this in detail. Step-5: Advertise your Data Science Skills! 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

ProjectPro

APRIL 20, 2017

But when you browse through hadoop developer job postings, you become a little worried as most of the big data hadoop job descriptions require some kind of experience working on projects related to Hadoop. Hadoop projects for beginners are simply the best thing to do to learn the implementation of big data technologies like Hadoop.

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

FEBRUARY 12, 2023

Data science jobs for freshers in USA employ graduates from master programs in disciplines related to data science, a bachelor's degree holder in the relevant field can also land entry-level data science jobs in the US. Since they are highly sought-after careers, the portfolio of candidates with no experience must be strong.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

AUGUST 16, 2021

Machine Learning Trends in Recent Years Deep Learning Trends in Recent Years With the global machine learning job market projected to be worth $31 billion by the end of 2024 and fierce competition in the industry, a machine learning project portfolio is a must-have. Outliers in the dataset are dropped, and null values are imputed.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

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

JULY 7, 2021

Digit Recognition System 4. Automated Attendance System 8. Object Detection System 13. Recommender System 14. The most popular advancements in machine learning are applications of deep learning — self-driving cars, facial recognition systems, and object detection systems. Covid-19 Detection in Lungs 3.

Deep Learning 40

Deep Learning Project Portfolio Datasets 40

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

FEBRUARY 27, 2023

Data Engineers indulge in the whole data process, from data management to analysis. Engineers work with Data Scientists to help make the most of the data they collect and have deep knowledge of distributed systems and computer science. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

FEBRUARY 7, 2023

A Data Science certificate that trains you on these platforms are a great way to ensure better productivity. These platforms offer collaborative environments, helping organizations to incorporate data-driven decisions into operational and customer-friendly systems to enhance business outcomes. Top Data Science Platforms 1.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

ProjectPro

JUNE 24, 2021

15 NLP Projects Ideas for Beginners With Source Code 20 Artificial Intelligence Project Ideas for Beginners to Practice 15+ Data Engineering Projects for Beginners with Source Code How to Become a Big Data Engineer Big Data Engineer Salary - How Much Can You Make?

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Knowledge Hut

JANUARY 22, 2024

In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. 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.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

AUGUST 13, 2021

Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Classification System 4. Classification System Classification problems are one of the most common problems that a Data Scientist is expected to solve. Predictive Analytics 2.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

U-Next

SEPTEMBER 19, 2022

In this power BI tutorial , we will comprehend different data connections to get information. You can retrieve information for Power BI from several data sources. You can link to data files on your Excel files, local system, Facebook, Azure SQL Database, Power BI datasets, Google Analytics, and more. Data Scientist.

BI 40

BI Business Intelligence Datasets Retail 40

ProjectPro

OCTOBER 18, 2021

Recommender System Projects Have you ever seen movies or web series on online streaming platforms? They have a well-researched collection of data such as ratings, reviews, timestamps, price, category information, customer likes, and dislikes. It contains all the attributes you need to build your stock price prediction system.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

JANUARY 25, 2022

PySpark allows you to process data from Hadoop HDFS , AWS S3, and various other file systems. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization The PySpark Architecture The PySpark architecture consists of various parts such as Spark Conf, RDDs, Spark Context, Dataframes , etc.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer identifies the internal and external data sources to gather valid data sets and deals with multiple cloud computing environments. You must have good knowledge of the SQL and NoSQL database systems. Some organizations may look for skills in Big Data management or specifically Apache Spark.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 8, 2016

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization A company learns from its actions in the past to predict future events. The main techniques used here are data mining and data aggregation. Data Mining - Identifying correlated data.

Data Mining 56

Data Mining Big Data Medical Healthcare 56

ProjectPro

DECEMBER 7, 2016

billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend? The complexity of big data systems requires that every technology needs to be used in conjunction with the other.

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

JULY 15, 2021

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Cloud Computing Delivery Models To work on projects on cloud computing, it is necessary to understand the cloud delivery models. have cloud-based systems implemented for managing the campus activities.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JULY 13, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Hadoop-based systems have become an adept at transaction processing to meet the emerging big data requirements of JPMorgan. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

ProjectPro

DECEMBER 17, 2021

A Collection of Take-Home Data Science Challenges for 2023 The challenges have been divided into three categories for simplicity. The second category has challenges with solution code. The third section contains sample data science take-home challenges for interview preparation to help you prepare for your dream job.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

AUGUST 11, 2021

Data Lake vs Data Warehouse - The Differences Before we closely analyse some of the key differences between a data lake and a data warehouse, it is important to have an in depth understanding of what a data warehouse and data lake is. Data Lake vs Data Warehouse - The Introduction What is a Data warehouse?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 14, 2014

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. 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.

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

AUGUST 5, 2021

Say , if you are intrigued by facial recognition systems and image generation, you can choose to work in the field of computer vision. Object Detection System 6. Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects 5. Resume Parser 2. Fake News Detector 3. Translator App 4.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JUNE 17, 2016

There is a lot more that needs to be done, in order to optimize your LinkedIn profile - to make the most out of all the available big data job opportunities and get noticed by recruiters. Link to your Projects Portfolio and GitHub Profile This is extremely important if you are a fresher. It will look similar to this.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

MARCH 12, 2016

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Let us suppose that Walmart has a wonderful Thanksgiving Sale and they would like to ensure that their marketing dollars are spent effectively, by having more relevant or delightful offers to advertise for their consumers.

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

ProjectPro

MARCH 15, 2016

Table of Contents Hadoop Distributed File System (HDFS) Hadoop MapReduce Hadoop in the Financial Sector Hadoop in Healthcare Sector Hadoop for Telecom Industry Hadoop in Retail Sector Hadoop for Building Recommendation System Studying Hadoop use cases will help to – 1.) Hadoop runs on clusters of commodity servers.

Hadoop 40

Hadoop Retail Healthcare Banking 40

ProjectPro

JUNE 30, 2016

.” Experts estimate a dearth of 200,000 data analysts in India by 2018.Gartner Gartner report on big data skills gap reveals that about 2/3 rd of big data skill requirements remains unfilled and only 1/3 are met. trying to make disruptive innovations by tapping big data.

Hadoop 40

Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

MAY 23, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Walmart was the world’s largest retailer in 2014 in terms of revenue. The big data ecosystem at Walmart processes multiple Terabytes of new data and petabytes of historical data every day.

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

JULY 3, 2015

What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “SAP systems hold vast amounts of valuable business data -- and there is a need to enrich this, bring context to it, using the kinds of data that is being stored in Hadoop.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

MARCH 27, 2014

An industry in big data, if seen with a top down approach to understand the Hadoop jobs offered, we can tear it down and say, that at top we find Hadoop Architect’s job who designs how the system should work. A Hadoop Tester’s job is to take care of all the checks to make a piece of code stable as possible.

Hadoop 40

Hadoop Big Data Java Data Mining 40

ProjectPro

APRIL 2, 2015

Retail Analytics truly started with Target having figured out, quite early on – that data analytics can take the consumer buying experience to a whole other level. It would be practically impossible to analyze this amount of data at once, with the help of legacy systems.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

FEBRUARY 1, 2022

Data science use cases can be found in almost every industry out there e-commerce, music streaming, stock market,etc. Data Mining — How did you scrape the required data ? you set up to source your data. Time series datasets invoke a lot of enthusiasm between data scientists.

Data Science 52

Data Science Datasets Banking Machine Learning 52