Knowledge Hut

JANUARY 18, 2024

Full-stack data science is a method of ensuring the end-to-end application of this technology in the real world. For an organization, full-stack data science merges the concept of data mining with decision-making, data storage, and revenue generation.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

Knowledge Hut

MAY 1, 2024

On the other hand, analytics is associated with many data cleaning, transformation , preparation and analytics operations that are performed on the data with the help of computer science (programming languages). All these skills (which a data scientist possesses) will help the businesses to thrive.

Algorithm 98

Algorithm Raw Data Data Science Computer Science 98

Knowledge Hut

JANUARY 18, 2024

Learn Python And R Programming Once you're comfortable with the mathematical principles, it's important to master basic programming abilities to transform your math knowledge into scalable computer programs. Because they are both open-source and free, anyone may learn to program in these languages.

Data Science 98

Data Science R (Programming) Computer Science Algorithm 98

Knowledge Hut

MAY 9, 2024

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. Average Annual Salary of Big Data Engineer A big data engineer makes around $120,269 per year.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

JUNE 11, 2024

Companies of all sizes are investing millions of dollars in data analysis and on professionals who can build these exceptionally powerful data-driven products. Although there are many programming languages that can be used to build data science and ML products, Python and R have been the most used languages for the purpose.

Java 52

Java Data Science Programming Language Scala 52

Knowledge Hut

DECEMBER 26, 2023

This book has detailed and easily comprehensible knowledge about the programming language Python which is crucial in ML. This book will prepare you to step into a more advanced level in order to learn more about Python and Machine Learning. It offers an in-depth explanation of finding solutions to deep learning problems.

Data Science 52

Data Science Programming Language Scala R (Programming) 52

ProjectPro

OCTOBER 26, 2021

TensorFlow It has a collection of pre-trained models and is one of the most popular machine learning frameworks that help engineers, deep neural scientists to create deep learning algorithms and models. MXNet MXNet is a choice of all Deep Learning developers. Keras fails to handle low-level computation.

Machine Learning 52

Machine Learning Programming Language Deep Learning Healthcare 52

ProjectPro

JUNE 18, 2021

These are the most common questions that our ProjectAdvisors get asked a lot from beginners getting started with a data science career. This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021.

Java 52

Java Data Science Python Programming Language 52

ProjectPro

JANUARY 24, 2023

Python is one of the most popular programming languages for building NLP projects. If you are interested in learning the reasons behind this popularity of Python among masses for creating NLP projects solutions, read this article till the end. It is one of the leading libraries for working with textual data.

Python 52

Python Project Programming Language Data Mining 52

Knowledge Hut

MAY 23, 2024

SAS: SAS is a popular data science tool designed by the SAS Institute for advanced analysis, multivariate analysis, business intelligence (BI), data management operations, and predictive analytics for future insights. A lot of MNCs and Fortune 500 companies are utilizing this tool for statistical modeling and data analysis.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

JUNE 10, 2024

List of Top 15 Python Frameworks for Data Science in 2024 For data scientists, Python is one of the most popular programming languages due to its large number of high-quality frameworks that can be used for various purposes. Easy data preprocessing and normalization. Here are 15 of the finest Python frameworks.

Data Science 52

Data Science Python Deep Learning Machine Learning 52

ProjectPro

DECEMBER 21, 2021

This includes knowledge of data structures (such as stack, queue, tree, etc.), A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc. Explore More Data Science and Machine Learning Projects for Practice.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

Knowledge Hut

DECEMBER 6, 2023

Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field. You can opt for post-graduation programs and get qualified for trending fields like artificial intelligence, machine learning , and deep learning. 2 to 20 LPA.

Engineering 52

Engineering Computer Science Programming Language Education 52

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

OCTOBER 28, 2021

Basic Mathematical Prerequisites for Machine Learning The basic math prerequisites for machine learning are usually covered in high school. One need not spend too much time practising maths problems as most complex problems can be solved using the built-in functions of a programming language.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

JANUARY 19, 2024

Business Intelligence Transforming raw data into actionable insights for informed business decisions. Programming Languages Delving into programming languages such as R and Python, along with exposure to database languages like SQL. Importance: Efficient organization and retrieval of data.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

U-Next

AUGUST 11, 2022

Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Machine Learning (ML) is a part of Artificial Intelligence. It builds a model based on Sample data and is designed to make predictions and decisions without being programmed for it. is highly beneficial.

Medical 52

Medical Computer Science Machine Learning Scala 52

ProjectPro

OCTOBER 16, 2021

Hands-On Machine Learning with Scikit-learn and TensorFlow: The Introduction Scikit-learn is the go-to machine learning library for Data Scientists who work with Python programming language. It contains codes to support the implementation of machine learning algorithms in Python.

Machine Learning 52

Machine Learning Deep Learning Datasets Algorithm 52

Knowledge Hut

FEBRUARY 7, 2023

While these solutions offer a great breadth of functionality, users must leverage proprietary user interfaces or programming languages to express their logic. This tool is also one of the Data Science Bootcamp prerequisites and has to be installed on a system or you can work on online development platforms like Google Colab.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

ProjectPro

JUNE 9, 2021

On the other hand, a data engineer must have a solid database management base. In addition to SQL, a good command of languages like Python and R is an added advantage since data mining is part of a data engineer’s job. Data mining and data management skills are essential for a data engineer.nd

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Expertise in this field is Statistics, Programming languages, mostly - Python, R, and Java, Data Engineering, Data Visualisation, and Machine Learning.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

NOVEMBER 3, 2021

How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias It becomes difficult to know every nut and bolt of all the application systems when it comes to Data Science. 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

AUGUST 13, 2021

Python Machine Learning Projects on GitHub Open Source Machine Learning Projects on GitHub Kaggle Machine Learning Projects on GitHub Without much ado, let’s walk through each of these GitHub Machine Learning projects in detail. It is an excellent framework for executing deep learning projects.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

ProjectPro

AUGUST 5, 2021

FastAI is an open-source library that allows users to quickly create and train deep learning models for various problems, including computer vision and NLP. Everything else requires you to have model deployment skills, the ability to render information quickly to the user, and a firm grasp of data science programming languages.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JUNE 26, 2021

Here is a list of them: Use Deep learning models on the company's data to derive solutions that promote business growth. Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data.

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Project Deep Learning Datasets Medical 40

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 52

Big Data Data Process Process Kafka 52

Knowledge Hut

NOVEMBER 28, 2023

Data scientists do more than just model and process structured and unstructured data; they also translate the results into useful strategies for stakeholders. They also have a perfect command of statistical software and programming. The duties of a data scientist go beyond just processing and analyzing data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

ProjectPro

AUGUST 24, 2021

Source Code: Analyse Movie Ratings Data Unlock the ProjectPro Learning Experience for FREE 11) Retail Analytics Project Example For retail stores , inventory levels, supply chain movement, customer demand, sales, etc. Experience with any one object-oriented programming language such as Python , Java, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

APRIL 20, 2017

Learn to Manage and Schedule Hadoop Jobs with Oozie Workflow Scheduler by Working on Hands-On Oozie Projects What will you learn from this hadoop project? Learn to build a music recommendation system using Collaborative Filtering method. What is Data Engineering? Fetching data through Apache Hadoop.

Hadoop 40

Hadoop Big Data Coding Project 40

U-Next

AUGUST 3, 2022

This definition is rather wide because Data Science is, undoubtedly, a somewhat vast discipline! Data Science is the discipline of concluding the analysis of raw knowledge using machine learning and data mining methods. What is a Data Scientist? What are Data Scientist roles?

Data Science 52

Data Science Retail Computer Science Entertainment 52

ProjectPro

SEPTEMBER 26, 2021

Programming Skills: The choice of the programming language may differ from one application/organization to the other. You shall have advanced programming skills in either programming languages, such as Python, R, Java, C++, C#, and others. You should also look to master at least one programming language.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

U-Next

AUGUST 11, 2022

When it comes to the analysis and processing of data, Data Scientists are distinguished from data engineers at each step of the way. These methods create valuable data and capture insight revealed from the data, for example, categorisation, data mining, clustering, and data modelling.

Data Science 40

Data Science Data Cleanse Unstructured Data Machine Learning 40