Knowledge Hut

JANUARY 18, 2024

To extract the data, they use algorithms and prediction models to retrieve the data required by the business and aid in data evaluation. While each project is unique, the following is the typical method for acquiring and evaluating data: Begin the discovery process by asking the appropriate questions.

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ProjectPro

DECEMBER 10, 2021

And we do want our curious readers to feel warm in their blankets and conserve their energy when searching for projects on business intelligence. Read this blog if you are interested in exploring business intelligence projects examples that highlight different strategies for increasing business growth. Chilly December is here!

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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.

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U-Next

SEPTEMBER 23, 2022

A business analyst helps and facilitates communication between stakeholders and the project team in addition to introducing, managing, and making important changes to the organization’s business model. . Their work aids in improving comprehension of project requirements. Types of Business and Data Analytics .

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ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Face Detection Kaggle Machine Learning Projects on GitHub 1.

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Machine Learning Project Deep Learning Datasets 40

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

Knowledge Hut

JANUARY 18, 2024

To maximize the benefits of data science, people need to have good technical knowledge of managing the data in a production environment, without which the awareness of full stack data science is insufficient. Full-stack refers to the skills required to complete a project where each component is treated as a stack.

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ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. A resume with one or some ML projects (listed below) will boost students' opportunities and make their resume stand out from the pile of resumes. for developing these kinds of projects.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

DECEMBER 6, 2023

Whether you choose to do a Cloud Computing course or Python, or also the PMP exam course for project managers, the potential skills you gain from them will help you bag the right job. Post-graduation in Machine Learning Data Science or Business Analytics: These are the hot sellers or takers in the data scientist field.

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Engineering Computer Science Programming Language Education 52

Knowledge Hut

JANUARY 19, 2024

Deep dive into data science concepts, covering subjects such as follows: Subject Name Information Statistics and Probability The fundamentals of probability and statistical science, including basics of linear algebra. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

U-Next

AUGUST 11, 2022

The present era is truly the golden age of technology. The only differentiators are ‘Consciousness’ and ’emotionality,’ being present only in the latter. Artificial Intelligence is achieved through the techniques of Machine Learning and Deep Learning. Introduction. ML And AI Are The Future.

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U-Next

AUGUST 25, 2022

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. Matplotlib.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Let's now look at the two data science job roles- Data Engineer and Data Scientist. A data scientist may not always be presented with a business problem to solve.

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U-Next

JULY 4, 2022

Therefore the demand for data scientists and other data science professionals is increasing. Anyone who desires to pursue a data scientist career path should have deep knowledge of mathematics, statistics, deep learning, artificial intelligence, machine learning, etc. Why is Data Science Important?

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ProjectPro

DECEMBER 21, 2021

This guide will help you better understand the overall approach and the specific skillset necessary to begin working as a machine learning professional. Skills Required to Build a Machine Learning Career The skillset of a machine learning expert is versatile and varies based on the numerous machine learning job responsibilities.

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Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

JANUARY 22, 2024

Require commitment of time for commuting and being physically present for classes and assignments. Consider your learning style, networking needs, schedule and budget when choosing between online or in-person data science courses. Students learn to build, train and optimize models using Python, R, TensorFlow and other libraries.

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Data Science Certification Education Data Lake 52

ProjectPro

NOVEMBER 3, 2021

If you are tired of googling how to become a freelance data scientist , you need to relax because your search is finally over. In this blog, we have presented a step by step guide for becoming a freelance data scientist and a quick and easy way of getting hired as a freelance data scientist.

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ProjectPro

DECEMBER 17, 2021

Final Submission Deadline: February 1, 2022 Prize Money for the first rank: $50,000 Kaggle Challenge Link: G-Research Crypto Forecasting Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects Scheduling Christmas-Movie Marathon For many people, Christmas is the best time of the year.

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Data Science Medical Datasets Machine Learning 52

ProjectPro

OCTOBER 28, 2021

These include Handwriting Recognition System , Credit Card Fraud Detection System , Sales Forecasting Project , Stocks Price Prediction , etc. Book Recommendation : Mathematics for Machine Learning by Marc Peter Deisenroth, A. Many people are more inclined towards learning by doing methodology than reading a book.

Machine Learning 52

Machine Learning Programming Language Datasets Python 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Cybersecurity vs Data Science: Career Data science vs cybersecurity careers, well, both provide good employment options.

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Data Science Computer Science Healthcare Recruitment 52

Zalando Engineering

OCTOBER 17, 2016

We recently launched Zalando Research as a place where we can focus and conduct cutting edge research, as well as contribute actively to the research community in the areas of machine learning (ML), AI, natural language processing, and deep learning. This process is then repeated for new ideas and projects.

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ProjectPro

AUGUST 16, 2021

All you need to do is highlight different types of machine learning projects on your resume. The best way to showcase you have the required machine learning skills is to highlight how you’ve mastered those skills practically. Machine Learning Projects on Classification 2.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. This course is a combination of lectures, tutorials and practical sessions.

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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.

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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

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc.

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Knowledge Hut

JULY 31, 2023

Research plays a pivotal role in determining the trajectory of an eCommerce project towards success. The primary aim is to discover how deep learning algorithms can be applied to analyze vast amounts of data, user behavior, product information, contextual factors, etc. Why Choose this Paper?

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Electronics Deep Learning Big Data Data Analytics 52

ProjectPro

OCTOBER 16, 2021

Table of Contents Hands-on Machine Learning with Scikit-learn and TensorFlow: The Introduction Hands-on Machine Learning with Scikit-learn and TensorFlow - Machine Learning Projects to Practice Scikit-Learn Projects TensorFlow Projects Bonus Machine Learning Projects!

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Machine Learning Deep Learning Datasets Algorithm 52

ProjectPro

SEPTEMBER 26, 2021

You can also become a self-taught big data engineer by working on real-time hands-on big data projects on database architecture, data science, or data engineering to qualify for a big data engineer job. You should have good presentation skills to engage the customers and stakeholders in your presentations.

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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.

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Datasets Machine Learning Retail Banking 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?

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Retail Data Science Computer Science Entertainment 52

ProjectPro

FEBRUARY 1, 2022

In a data science interview, you are expected to explain your data science project lifecycle , and you must choose an approach that would broadly cover all the data science lifecycle activities. Data Mining — How did you scrape the required data ? How would you detect fake news on social media?

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Data Science Datasets Banking Machine Learning 52

U-Next

AUGUST 24, 2022

According to McKinsey , deep learning and reinforced learning is two AI methodologies that have the potential to produce from $3.5T While Machine Learning is sometimes viewed as monolithic, it has several subs, including computer vision, Machine Learning, and the trying to cut reinforcement learning technology.

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Machine Learning Algorithm Manufacturing Data Collection 40

ProjectPro

JULY 7, 2021

As a beginner in the data industry, it can be overwhelming to step into AI and deep learning. After taking a deep learning course or two, you might find yourself getting stuck on how to proceed. Is it difficult to build deep learning models? Why build deep learning projects?

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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.

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Machine Learning Project Deep Learning Banking 40

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. Table of Contents What is a Big Data Project?

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Big Data Coding Project Hadoop 52

ProjectPro

OCTOBER 29, 2021

How then is the data transformed to improve data quality and, consequently, extract its full potential? Data Preprocessing to the rescue! Table of Contents What is Data Preprocessing? This is why we will get back to the über important topic of improving data quality by preprocessing in the later section.

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