Knowledge Hut

JANUARY 28, 2024

The change control process is a crucial aspect of project management intended to manage and regulate changes made to the project plan, schedule, and budget. Enrolling in Project Management classes is an excellent way to get comprehensive knowledge of the process mentioned in the above steps. What is the Role of Change Request?

Process 98

Process Project Pharmaceutical Designing 98

Knowledge Hut

APRIL 25, 2024

It is the right time to skill yourself in spatial data science cases, applications, and various elements. This article gives overview of spatial data science’s elements, use cases, types of spatial data analysis, and it’s application. Big data processing is aided by using computer languages like Python, SQL, and R.

Data Science 52

Data Science Telecommunication Transportation Big Data 52

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. OpenCV Why should you use GitHub?

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

AltexSoft

MAY 27, 2021

We’ll explain the essence of IDP, guide you through its key stages, and provide real-life examples of the technology use. It identifies patterns in visual data — say, document scans — and classifies them accordingly. This phase aims at dividing documents into different categories by structure, content, and/or type.

Technology 64

Technology Process Insurance Medical 64

ProjectPro

JANUARY 28, 2022

They will only go outside of these expected patterns in exceptional cases, which are usually erroneous or fraudulent. When these exceptional cases occur, they cause something that is called an “anomaly” in the data. In such a case, the model can treat that class as an anomaly and classify the species differently.

Machine Learning 52

Machine Learning Python Datasets Algorithm 52

ProjectPro

JULY 26, 2021

Currently, TensorFlow has a market share of 3.56%, with more than 1910 companies already using it. why knowledge of TensorFlow is so valuable let us get started with a few cool TensorFlow projects idea that. Detecting Spam using TensorFlow 2. Optical Character Recognition using TensorFlow 4.

Project 40

Project Deep Learning Medical Datasets 40

AltexSoft

JUNE 16, 2022

But just because you put it there doesn’t guarantee your project will do well and pay off. They will help you find the pain points of your model at the early stage and decide whether the whole ML project returns the investments and effort put into it. Yes, it’s an advanced way of doing things. They help you do model testing right.

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

FEBRUARY 1, 2024

The data cleaning and validation steps undertaken for any data science project are implemented using a data pipeline. You may likely duplicate or incorrectly classify data while working with large datasets and merging several data sources. It can be in incorrect format, duplicates, corrupt, inaccurate, incomplete, or irrelevant.

Data Science 52

Data Science Process Data Cleanse Datasets 52

Knowledge Hut

NOVEMBER 28, 2023

Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding. In this article, we will look at 31 different places to find free datasets for data science projects. File Based: In this case , datasets are stored in files.

Datasets 96

Datasets Data Science Project Banking 96

ProjectPro

JANUARY 31, 2023

Read this blog to learn more about how the insurance industry benefits from implementing AI and ML solutions, which highlights the most practical applications and real-world use cases of machine learning in insurance and how it brings a new level of precision and effciency to the industry.

Insurance 75

Insurance Machine Learning Project Algorithm 75

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Getting Started with Python for Data Science FAQs about data science projects Why Learn Python for Data Science? Following is a non-exhaustive list of libraries available to use in Python for Data Science - seaborn, matplotlib , sci-kit learn, NumPy , SciPy , requests, pandas , regex etc.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

JUNE 22, 2021

You will also explore some exciting machine learning project ideas that implement different types of classification algorithms. So, on your way to the destination, you start wishing for a magical wardrobe where you could throw your stuff, and it could automatically classify things and neatly place them. We all have been through this.

Machine Learning 72

Machine Learning Algorithm Datasets Project 72

Edureka

AUGUST 2, 2023

It’s fantastic that you’re beginning a project with Java as a novice. Java is a strong and adaptable programming language used in a variety of applications, including mobile apps and web development. You can use OpenJDK or get the most recent JDK from the Oracle website.

Java 52

Java Project Programming Coding 52

ProjectPro

DECEMBER 14, 2021

Check out these Power BI projects that will blow your mind with Power BI’s interactive dashboards, exceptional graphs and charts, and many more features. Data insights, improved quality, and correct data condensed in a single document have become more critical. What is Power BI Used For? Product Sales Data Analysis 3.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

AUGUST 5, 2021

Every time you scroll through social media, open Spotify, or do a quick Google search, you are using an application of AI. There are a variety of AI projects you can do to gain a grasp of these libraries. Fake Product Review Identification Intermediate/Advanced Level Artificial Intelligence Project Ideas 1.

Project 52

Project Datasets Deep Learning Machine Learning 52

ProjectPro

JANUARY 20, 2022

Machine learning, a subdomain of artificial intelligence, uses algorithms and data to imitate how humans learn and steadily improve. It finds insights in data using approaches from neural networks, statistics, operations research, etc., Have you ever used Pinterest and wondered how it manages to deliver relatable content consistently?

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

FEBRUARY 25, 2022

Online fraud cases using credit and debit cards saw a historic upsurge of 225 percent during the COVID-19 pandemic in 2020 as compared to 2019. Credit card fraud is a term that has been coined for unauthorized access of payment cards like credit cards or debit cards to pay for using services or goods.

Machine Learning 52

Machine Learning Project Algorithm Datasets 52

AltexSoft

DECEMBER 21, 2021

In this case, the training dataset will consist of multiple songs with labels showing genres like pop, jazz, rock, etc. Within the full cycle of the ML development, data preparation (including labeling) takes up almost 80 percent of the project time. In the case of failure, human labelers correct the errors and re-train the model.

Machine Learning 52

Machine Learning Process Raw Data Datasets 52

Knowledge Hut

JANUARY 31, 2024

Using a company's resources most effectively and productively is one of the most important aspects of good business management. To learn better, you can opt for an online certification like PMP training to clear the certification exams for project managers. What is Management ? Objectives of Management 1.

Management 98

Management Recruitment Manufacturing Certification 98

Knowledge Hut

FEBRUARY 7, 2023

There are three popular programming languages used in data science. It is a commercial closed-source integrated system of software products designed for advanced analytics and complicated statistical processes required in Business Intelligence. These are Python, R, and SAS (Statistical Analysis System).

Data Science 52

Data Science Datasets SQL Data Mining 52

Knowledge Hut

JANUARY 30, 2024

It will be used as a reference for the implementation and use of incident management process on an ongoing basis. This policy statement defines the system of governance that is used to ensure that support team members and contractors follow the prescribed process as requirement. Use Self-Help tool to report the issue(s).

Management 52

Management Certification Government Process 52

AltexSoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Snowflake

MARCH 30, 2023

“The features you use influence more than everything else the result. Data Vault’s “soft rules” are those auditable transformations that use raw (and other business vault) data artifacts whose outcomes are loaded into a business vault based on the same business entity and unit of work as raw vault. ML workflow, ubr.to/3EJHjvm

Engineering 84

Engineering Raw Data Data Science Scala 84

Knowledge Hut

FEBRUARY 7, 2023

Developers without experience managing large-scale systems can easily use Kubernetes to deploy and manage their apps. The Kubernetes cheat sheet provides an overview of the significant aspects of the Kubernetes platform, including its architecture and components, and use cases. What Does Kubernetes Cheat Sheet Mean?

Architecture 98

Architecture Accessible Accessibility Management 98

ProjectPro

DECEMBER 22, 2016

We have collected a library of solved Data Science use-case code examples that you can find here. We add new use-cases every week. The job role of a data analyst involves collecting data and analyzing it using various statistical techniques. 3) What is the difference between Data Mining and Data Profiling?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52

ProjectPro

JULY 27, 2021

In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Normalization is not useful in a star schema, and there is high data redundancy. In case of a machine failure, you cannot recover the data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

DoorDash Engineering

APRIL 23, 2024

DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants – merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. A variety of prompts can be used to instruct LLMs to solve different NLP problems.

Building 91

Building Retail Manufacturing Unstructured Data 91

ProjectPro

JANUARY 17, 2022

The algorithms are designed to classify the given data points into n number of different classes based on patterns observed within the data. Native Multiclass classifiers 3) Hierarchical Classification Multi-Class Classification Python Example -Thyroid Disorders Classification What is Multi-Class Classification in Machine Learning?

Python 52

Python Algorithm Datasets Machine Learning 52