Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise.

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Programming Language Data Science Programming Scala 98

Data Engineering Podcast

FEBRUARY 6, 2022

Summary There are many dimensions to the work of protecting the privacy of users in our data. When you need to share a data set with other teams, departments, or businesses then it is of utmost importance that you eliminate or obfuscate personal information. The only thing worse than having bad data is not knowing that you have it.

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Data Pipeline Data Metadata Software Engineer 100

Christophe Blefari

SEPTEMBER 28, 2023

Make your data stack take-off ( credits ) Hello, another edition of Data News. This week, we're going to take a step back and look at the current state of data platforms. What are the current trends and why are people fighting around the concept of the modern data stack. Is the modern data stack dying?

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Cloud Storage Big Data Hadoop SQL 147

Knowledge Hut

OCTOBER 27, 2023

Data Science has been booming in recent years, and the drive in the field of Artificial Intelligence because of several inventions will only take it to the next level. More opportunities emerge in the market as more industries recognise the power of Data Science. Cleaning data can be a difficult and time-consuming task.

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Data Science Coding Project Datasets 96

Knowledge Hut

MARCH 19, 2024

Data Preparation: The Machine Learning Engineer Software engineers get, clean, and process data so that it can be used in machine learning models. Data Preparation: The Machine Learning Engineer Software engineers get, clean, and process data so that it can be used in machine learning models.

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Software Engineer Software Engineering Machine Learning Engineering 52

Ascend.io

SEPTEMBER 14, 2023

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

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Data Engineering Data Engineer Python Engineering 52

Knowledge Hut

JANUARY 18, 2024

Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise.

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Programming Language Data Science Programming Scala 75

Knowledge Hut

NOVEMBER 27, 2023

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses.

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Data Science Healthcare Machine Learning Telecommunication 97

Edureka

AUGUST 2, 2023

In this digital transformation era, data is at the heart of decision-making. Data science has gained prominence, playing a crucial role in deriving insights from vast volumes of data. Aspiring data scientists must familiarize themselves with the best programming languages in their field.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

ProjectPro

JUNE 18, 2021

Why do data scientists prefer Python over Java? Java vs Python for Data Science- Which is better? These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. Why do data scientists love Python for Data Science?

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Java Data Science Python Programming Language 52

ProjectPro

OCTOBER 8, 2021

Machine Learning Project on Customer Segmentation In the retail and E-commerce sector, customer segmentation refers to using historical customer data and dividing customers based on similar behavior and interests. Perform exploratory data analysis of the dataset to understand the various attributes in the dataset better.

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Retail Machine Learning Project Datasets 52

Towards Data Science

JULY 13, 2023

Specifically, we’ll cover pulling data from the web, creating text embeddings (vectors) and pushing them to a vector store. The application will receive a small data input (e.g., The application will receive a small data input (e.g., This data will move through different services (LLM, vector database, document store, etc.)

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Building Database-centric Database Coding 74

Knowledge Hut

DECEMBER 22, 2023

Over the years, Python language has evolved enormously with the contribution of developers. Python is one of the most popular programming languages. It was designed primarily for server-side web development, software development, evaluation, scripting, and artificial intelligence. But first, let us see what code editors and IDEs are.

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Python Coding Programming Language Data Science 97

ProjectPro

OCTOBER 18, 2021

Every final year student interested in pursuing a career in data science or machine learning must work on a hands-on project to experience a practical approach to how machine learning models are implemented and deployed in production. To build such ML projects, you must know different approaches to cleaning raw data.

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Machine Learning Project Datasets Algorithm 52

Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

dbt Developer Hub

MARCH 9, 2022

Special Thanks: Emilie Schario, Matt Winkler dbt has done a great job of building an elegant, common interface between data engineers, analytics engineers, and any data-y role, by uniting our work on SQL. Luckily, the Modern Data Stack is making this baton pass smoother. I like to call this interoperability a “baton pass.”

Machine Learning 52

Machine Learning Raw Data SQL Python 52

Dataquest

OCTOBER 16, 2019

Exciting news: we just launched a totally revamped Data Engineering path that offers from-scratch training for anyone who wants to become a data engineer or learn some data engineering skills. But it begs the question: why learn data engineering in the first place? Why Learn Data Engineering? Looks cool, right?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

ProjectPro

NOVEMBER 17, 2021

Sentiment analysis is used to analyze raw text to drive objective quantitative results using natural language processing, machine learning, and other data analytics techniques. Sentiment analysis helps businesses process vast amounts of data efficiently. Emotions are essential, not only in personal life but in business as well.

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Coding Project Entertainment Datasets 52

ProjectPro

DECEMBER 16, 2021

Are you a newbie in the data science domain ready to embark on a rewarding journey but are confused between the roles of a Machine Learning Engineer vs Data Scientist? Data Science is an emerging discipline and so are the roles and job titles pretty much evolving. Consider an AI/ML system as the combination of "Data" and "Code."

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Knowledge Hut

DECEMBER 26, 2023

In today’s AI-driven world, Data Science has been imprinting its tremendous impact, especially with the help of the Python programming language. Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals. This image depicts a very gh-level pipeline for DS.

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Data Science Python Programming Language Portfolio 92

ProjectPro

FEBRUARY 28, 2022

Get Closer To Your Dream of Becoming a Data Scientist with 150+ Solved End-to-End ML Projects Facial Expression Recognition Models The algorithms used for facial expression recognition span the domain of both machine learning and deep learning; a few of them are as follows. Another everyday use case is for businesses.

Coding 52

Coding Project Deep Learning Datasets 52

ProjectPro

JULY 21, 2021

Utilize natural language data to draw insightful conclusions that can lead to business growth. Method: The first step to start designing the Sentiment Analysis system would involve performing EDA over textual data. Good knowledge of commonly used machine learning and deep learning algorithms.

Coding 52

Coding Project Deep Learning Algorithm 52

ProjectPro

JULY 10, 2021

Time series analysis and forecasting is a dark horse in the domain of Data Science. Time series is among the most applied Data Science techniques in various industrial and business operations, such as financial analysis , production planning, supply chain management, and many more. Time Series-based Data Analysis for Taxi Service 4.

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Project Banking Datasets Python 40

Databand.ai

DECEMBER 13, 2022

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? LinkedIn is full of influencers sharing new ideas and sparking conversations on all kinds of topics, and data engineering is no exception. You’ve come to the right place. Happy following!

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

DECEMBER 21, 2021

The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge. This includes knowledge of data structures (such as stack, queue, tree, etc.),

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Data Engineering Weekly

MARCH 31, 2024

Intuit: How Intuit data analysts write SQL 2x faster with the internal GenAI tool The productivity increase with GenAI is undeniable, and several startups are trying to solve the Text2SQL generation problem. My key highlight is that Excellent data documentation and “clean data” improve results.

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Data Engineering Data Engineer Engineering Scala 62

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. Below you will find simple projects on data mining that are perfect for a newbie in data mining.

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Data Mining Coding Project Datasets 40

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. Real-time Data Processing Application 7. Sentiment Analysis on Real-time Twitter Data 23. AWS Athena Big Data Project for Querying COVID-19 Data 25.

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AWS Project Amazon Web Services Cloud Computing 52

Knowledge Hut

JANUARY 25, 2024

In the world of data science, keeping our data clean is a bit like keeping our rooms tidy. Just as a messy room can make it hard to find things, messy data can make it tough to get valuable insights. That's why data cleaning techniques and best practices are super important. What is Data Cleaning?

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Data Cleanse Datasets Data Preparation Data Science 52

ProjectPro

JUNE 26, 2021

Most of us won’t be surprised to find that out of these sixteen, at least seven of them are related to Artificial Intelligence and Data Science. ” In fact, as per International Data Corporation (IDC), worldwide spending on augmented reality and virtual reality will climb up to $72.8 billion in 2024.

Project 40

Project Deep Learning Datasets Medical 40

ProjectPro

FEBRUARY 11, 2021

That’s very savvy because machine learning engineers are the Swiss Army Knife of the data world. Before we forget, we want to make sure you know about our end-to-end solved data science and machine learning projects that are designed to help any mid-career professional kick-start their machine learning career.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Knowledge Hut

APRIL 22, 2024

Anyone aspiring to be a data scientist, machine learning engineer, or software developer must have thought about learning Python. Data science , machine learning, and game design are just a few of the fields where it is used. You can start with learning Python to solve data science problems. Picture from Stake Overflow survey.

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Python Programming Language Data Science Programming 98

Knowledge Hut

FEBRUARY 1, 2024

While building predictive models, if your results aren’t satisfactory, then the two things that can go wrong are data or models. Choosing the right data is the first step in any data science application. Then comes the data format. Data cleaning in data science plays a pivotal role in your analysis.

Data Science 52

Data Science Process Data Cleanse Datasets 52

Knowledge Hut

MAY 2, 2024

You may have heard of many cool sounding job profiles like Data Scientist, Data Analyst, Data Engineer, Machine Learning Engineer etc., These applications have the capability to glean useful and insightful information from data that is useful to arrive business insights. Why do I need to Learn Math?

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Machine Learning Algorithm Datasets Deep Learning 98

Towards Data Science

NOVEMBER 16, 2023

Data Management A tutorial on how to use VDK to perform batch data processing Photo by Mika Baumeister on Unsplash Versatile Data Ki t (VDK) is an open-source data ingestion and processing framework designed to simplify data management complexities.

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Data Process Process Raw Data Data 78

Knowledge Hut

JANUARY 16, 2024

Another study from Indeed, the online job portal giant, revealed that machine learning engineers, data scientists, and software engineers with these skills are topping the list of most in-demand professionals. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns.

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Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

APRIL 19, 2023

The process of gathering and compiling data from various sources is known as data Aggregation. Businesses and groups gather enormous amounts of data from a variety of sources, including social media, customer databases, transactional systems, and many more. Aggregation of data is useful in this situation.

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Process Data Mining Aggregated Data Portfolio 59