ProjectPro

JANUARY 21, 2022

Well-versed with applications of various machine learning and deep learning algorithms. Experience in specialized domains such as Natural Language Processing/Computer Vision/ etc. Use various machine learning and deep learning techniques to curate predictive models for different parameters.

Deep Learning 52

Deep Learning Data Science Algorithm Programming Language 52

Knowledge Hut

NOVEMBER 27, 2023

Developing technical skills is essential, starting with foundational knowledge in mathematics, including calculus and linear algebra, which underpin machine learning and deep learning concepts. Through the article, we will learn what data scientists do, and how to transits to a data science career path.

Data Science 52

Data Science Datasets Machine Learning Algorithm 52

Knowledge Hut

NOVEMBER 17, 2023

Skills Depth and Breadth of Skills: AI developers with a deep understanding of various AI domains, such as machine learning, deep learning, and natural language processing, often command higher salaries due to their ability to work on diverse projects. Why are AI Developers Paid so Much?

Healthcare 52

Healthcare Deep Learning Certification Algorithm 52

Knowledge Hut

JUNE 23, 2023

Data engineers make a tangible difference with their presence in top-notch industries, especially in assisting data scientists in machine learning and deep learning. Coding helps you link your database and work with all programming languages. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JUNE 20, 2023

Programming languages such as Python and C are a must. A good understanding of image processing algorithms and techniques Experience in deep learning frameworks such as TensorFlow and PyTorch Good communication skills and teamwork skills The average salary for an Image Processing Engineer is around $90,000 in 2023.

Process 52

Process Computer Science Algorithm Education 52

Knowledge Hut

MAY 2, 2023

They Help in Improving Technical Skills Working on software development projects can also help further technical skills like working with programming languages, database management, user interface design, software testing, and much more. You must be familiar with programming languages, databases, and user experience designing.

Project 52

Project Electronics Programming Language Algorithm 52

ProjectPro

NOVEMBER 3, 2021

Access Job Recommendation System Project with Source Code Table of Contents How to Become a Freelance Data Scientist Step-1: Explore the world of Data Science and Identify your bias Step-2: Diversify your skills and keep them up to date Step-3: Build an attractive Project Portfolio Step-4: Start Small! Step-7: Keep Learning!

Portfolio 52

Portfolio Data Science Algorithm Programming Language 52

ProjectPro

FEBRUARY 11, 2021

(2023 Update) Machine Learning Engineer – The Hype is Real 2) What is a machine learning engineer? How to become a machine learning engineer at Google? A true machine learning engineer is a unicorn. That is why many machine learning tools are available to make it easier.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

Knowledge Hut

DECEMBER 26, 2023

Offer a Wide Range of Specializations: Students are free to select from a wide variety of specializations, from traditional fields (such as languages, finance, accounting, mathematics, and economics) to contemporary fields (Machine Learning, Deep Learning, Cybersecurity, Cloud Computing, etc.)

Certification 95

Certification Java Google Cloud Education 95

ProjectPro

JANUARY 19, 2022

Good skills in computer programming languages like R, Python, Java, C++, etc. Good knowledge of various machine learning and deep learning algorithms will be a bonus. Computer Programming A decent understanding and experience of a computer programming language is necessary for data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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

SEPTEMBER 6, 2021

The machine learning techniques are applicable in enhancing the security of the transactions by detecting the possibilities of fraud in advance. Deep learning solutions using Python or R programming language can predict fraudulent behavior. It is continually achieving better model portfolios as a result.

Machine Learning 52

Machine Learning Retail Healthcare Medical 52

Knowledge Hut

JANUARY 2, 2024

By the time the course ends, you will have a vast project portfolio that can help you find excellent job roles at companies dedicated to improving business through cloud technology. Coding Dojo's Software Development Bootcamp Coding Dojo offers comprehensive software development coding programs for both full-time and part-time students.

Coding 52

Coding Software Engineer Software Engineering Certification 52

Knowledge Hut

JUNE 16, 2023

Artificial intelligence, Deep learning, and Machine learning are the current buzzwords in the industry. Deep learning is a branch of this impeccable machine learning and artificial intelligence. The above image represents the difference between Artificial intelligence, Machine Learning, and Deep Learning.

Deep Learning 52

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ProjectPro

NOVEMBER 24, 2021

Knowledge of machine learning algorithms and deep learning algorithms. Strong programming skills. Recommended Reading: 50 ML Projects To Strengthen Your Portfolio and Get You Hired FAQs on Learning Data Science Is data science a hard job? What are the requirements to learn machine learning ?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

Knowledge Hut

NOVEMBER 27, 2023

Programming It is the first skill to have if you want to succeed as a Data Scientist. You should be well versed in one of the programming languages; it’s better if it’s Python or R. All the processes, like data cleaning, analysis, and modeling, rely on your programming skills.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

Knowledge Hut

DECEMBER 26, 2023

Following an MBA in finance, the best career options after BCom include those as a finance manager, consultant, financial analyst, credit risk manager , portfolio manager, and treasurer. Chartered Accountancy (CA)  One of the top career options for graduates of commerce programs is chartered accounting (CA).

Banking 52

Banking Insurance Finance Cloud Computing 52

ProjectPro

AUGUST 16, 2021

Project Idea: By merging using unique key values, you can take a look at the statistics of the dataset using Pandas dataframes and Matplotlib library of Python Programming language. So, by working on this dataset, you can learn how to handle such kinds of values. It contains information about red and white wine.

Data Mining 40

Data Mining Coding Project Datasets 40

Databand.ai

DECEMBER 13, 2022

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 17, 2021

Technical Skills Required to Become an AI Engineer Programming Skills: You need good knowledge and understanding of object-oriented programming languages, such as Python , Java , R, C++, etc. These languages are easy to learn, and understanding multiple knowledge will broaden your capabilities.

Engineering 40

Engineering Machine Learning Data Science Algorithm 40

ProjectPro

APRIL 20, 2017

ProjectPro industry expert’s advice that you should build a project portfolio with some well-thought out Hadoop projects that will help you demonstrate your range of Hadoop skills to your prospective employers. 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

ProjectPro

JULY 28, 2021

You may also have to answer various questions on programming and database languages. For example, with a programming language, such as R or Python, you must first work on the syntax and commands for the particular language. Access Data Science and Machine Learning Project Code Examples PREVIOUS NEXT <

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

ProjectPro

FEBRUARY 24, 2016

A data scientist must have in-depth knowledge of technologies used to tame big data and should always be willing to learn the merging ones. It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023.

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

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

ProjectPro

AUGUST 24, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects 1) Smart IoT Infrastructure In this IoT project , you will be discussing a general architecture for building smart IoT infrastructure. So, read the next section to find out how you can build a successful project portfolio.

Data Engineering 52

Data Engineering Data Engineer Coding Project 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. Gets slow when working on heavy Deep Learning Algorithms 2. Machine Learning Deep learning It has inbuilt advanced ML and DL libraries like Keras, Pytorch, etc.,

Data Science 52

Data Science Google Cloud AWS Programming Language 52

Knowledge Hut

DECEMBER 26, 2023

Do the numerous programming languages, libraries, frameworks, databases, and platforms released daily overwhelm you? Even you have seen many courses following the technology, like Machine Learning courses, Software Developer Course , Mobile Development, AI and Deep Learning Courses, etc.

Software Engineer 98

Software Engineer Software Engineering Engineering Java 98

Knowledge Hut

JANUARY 18, 2024

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market. SQL for data migration 2.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

APRIL 1, 2021

Here is our quick checklist of data science skills - Programming Skills - You need to know a programming language like Python or R. I wrote the entire piece of code by myself and it was C programming language at that time. Build a Job-Winning Data Science Portfolio.

Data Science 40

Data Science Telecommunication Algorithm Machine Learning 40

ProjectPro

AUGUST 5, 2021

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. Dataset: Kaggle Fashion Dataset Unlock the ProjectPro Learning Experience for FREE 2.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

OCTOBER 27, 2021

The banking and finance industry generates enormous amounts of data related to transactions, billing, and payments from customers, which can provide accurate insights and predictions to be fed to machine learning models. There is a wide range of open-source machine learning algorithms and tools that fit exceptionally with financial data.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

JANUARY 25, 2022

Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Multi-Language Support PySpark platform is compatible with various programming languages, including Scala, Java, Python, and R.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

AUGUST 2, 2021

While this is not particularly hard to implement, there is much to learn from precisely understanding how the classifier works. Deep Learning Approach While dlib's CNN-based face detector is slower than most other methods, its superior performance compensates for its longer execution time.

Coding 40

Coding Python Process Project 40

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

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects ETL Pipeline Tutorial - How to Build an ETL Pipeline?

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

AUGUST 21, 2015

Hadoop distribution has a generic application programming interface for writing Map and Reduce jobs in any desired programming language like Python, Perl, Ruby, etc. Data Serialization Components are - Thrift and Avro Data Intelligence Components are - Apache Mahout and Drill. What is Hadoop streaming?

Hadoop 40

Hadoop Big Data Metadata Java 40