ProjectPro

JUNE 6, 2025

AI algorithms have been shown to increase leads by up to 50% and reduce call times by 60%, making them irreplaceable in sales and customer service. Here is a post by Lekhana Reddy , an AI Transformation Specialist, to support the relevance of AI in Data Analytics. FAQs What is Artificial Intelligence for Data Analysis?

Data Analytics 40

Data Analytics Healthcare Algorithm Machine Learning 40

ProjectPro

JUNE 6, 2025

With wide applications in various sectors like healthcare , education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. The possibilities are endless: analysis of frauds in the finance sector or the personalization of recommendations on eCommerce businesses.

Data Science 67

Data Science Project Food Pharmaceutical 67

ProjectPro

JUNE 6, 2025

Data preparation for machine learning algorithms is usually the first step in any data science project. It involves various steps like data collection, data quality check, data exploration, data merging, etc. In this blog, you will learn how to prepare data for machine learning projects.

Data Preparation 45

Data Preparation Machine Learning Project IT 45

ProjectPro

JUNE 6, 2025

Let's dive into the world of data augmentation, which addresses this challenge by artificially increasing the size of the training data by applying transformations to the existing data, With a humongous amount of data generated every second, collecting qualitative and relevant data to train machines has become tedious.

Deep Learning 49

Deep Learning Machine Learning Datasets Data 49

ProjectPro

JUNE 6, 2025

After spending many years exploring the applications of this data science technique , businesses are now finally leveraging it to its maximum potential. Enterprises are using unique predictive models and algorithms that support predictive analytics tools. Data Mining- You cleanse your data sets through data mining or data cleaning.

Data Mining 45

Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Whether you're an experienced data engineer or a beginner just starting, this blog series will have something for you. We'll explore various data engineering projects, from building data pipelines and ETL processes to creating data warehouses and implementing machine learning algorithms.

Coding 40

Coding Manufacturing Data Cleanse Data Warehouse 40

ProjectPro

JUNE 6, 2025

Neural networks refer to the series of algorithms implemented to determine the relationships between the datasets using a process that is in line with the operations of a human brain. Applications of Neural Networks Neural networks have a plethora of applications in numerous domains specifically for data-intensive applications.

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Project Deep Learning Banking Algorithm 63

ProjectPro

JUNE 6, 2025

5 Steps Of Machine Learning Process How To Use Machine Learning Algorithms? Whilst I'm no mathematician or a statistician, I can tell you that machine learning takes common methods and metrics from statistics and mathematics and applies that on data to build models. And we call this set of data, the training data.

Machine Learning 40

Machine Learning Process Entertainment Algorithm 40

ProjectPro

JUNE 6, 2025

Here are some examples where a predictive analytics algorithm is used: Credit Scoring: Predictive modeling is widely used in the banking industry to assess credit risk and determine the likelihood of loan default. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop.

Project 40

Project Portfolio Medical Algorithm 40

ProjectPro

JUNE 6, 2025

Machine Learning Machine learning helps speed up the processing of humongous data by identifying trends and patterns. It is possible to classify raw data using machine learning algorithms , identify trends, and turn data into insights. Organize and gather data from various sources following business needs.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Data Collection Machine Learning Unstructured Data Non-relational Database 52

Knowledge Hut

JANUARY 18, 2024

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. Roles and Responsibilities Design machine learning (ML) systems Select the most appropriate data representation methods.

Data Science 98

Data Science Data Architect Business Analyst ETL Method 98

ProjectPro

JUNE 6, 2025

Which algorithm does Uber use for Data Analysis? Getting Started with Uber Data Analysis Project The typical machine learning project life cycle involves defining the problem, building a solution, and measuring the solution's impact on the business. Which algorithm does Uber use for Data Analysis?

Machine Learning 45

Machine Learning Data Analysis Project Datasets 45

Knowledge Hut

JANUARY 18, 2024

These professionals are capable of handling feature engineering, getting the data, and model building. They also ensure the efficient application of the model for making relevant predictions using the data collected through various methods.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

ProjectPro

JUNE 6, 2025

Navigating the fascinating world of finance and data science can be as challenging as deciphering a cryptic code. This blog simplifies the path to becoming a Financial Data Scientist, exploring the roadmap and shedding light on the essential steps to conquer this exciting career field. What Does A Financial Data Scientist Do?

Finance 40

Finance Portfolio Insurance Data Science 40

ProjectPro

JUNE 6, 2025

Learning Big Data is Full of Job Prospects and Career opportunities in the Industry. Data professionals work in several industry segments, and their contributions apply to all industries. You can work in any sector, including finance, manufacturing, information technology, telecommunications, retail, logistics, and automotive.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

At its core, AIOps aims to automate and optimize IT operations by leveraging AI techniques to analyze and interpret vast amounts of data generated by various IT systems and applications. However, with AIOps, the platform can leverage machine learning algorithms to predict traffic patterns based on historical data.

Algorithm 40

Algorithm Machine Learning Big Data Utilities 40

ProjectPro

JUNE 6, 2025

A data warehouse allows stakeholders to make well-informed business decisions by supporting the process of drawing meaningful conclusions through data analytics. It showcases information about a business that spans various domains such as sales, marketing, finance , etc.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

From data quality issues to algorithm selection and model interpretation, machine learning engineers must navigate numerous challenges in deploying and monitoring machine learning systems to successfully deploy a machine learning model in production. Implementing machine learning projects has its own challenges.

Machine Learning 40

Machine Learning Algorithm Datasets Medical 40

Knowledge Hut

JULY 4, 2023

Here are some key technical benefits and features of recognizing patterns: Automation: Pattern recognition enables the automation of tasks that require the identification or classification of patterns within data. This is particularly useful in domains such as finance, weather forecasting, stock market analysis, and demand forecasting.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Knowledge Hut

MAY 31, 2023

The development process may include tasks such as building and training machine learning models, data collection and cleaning, and testing and optimizing the final product. The privacy and security of patient data and ensuring that AI algorithms are accurate, dependable, and impartial must be overcome.

Project 96

Project Transportation Healthcare Deep Learning 96

ProjectPro

JUNE 6, 2025

Generative AI Algorithms like GANs, Variational Autoencoders (VAEs), and LSTMs enable realistic content generation. GANs generate realistic images through adversarial training, VAEs ensure structured image generation, and LSTMs excel in sequential data tasks like text and music composition. What is GenAI vs ChatGPT?

Building 52

Building Banking SQL Deep Learning 52

ProjectPro

JUNE 6, 2025

With the introduction of advanced machine learning algorithms , underwriters are bringing in more data for better risk management and providing premium pricing targeted to the customer. This explains why the insurance sector is acquiring an increasing amount of data.

Insurance 45

Insurance Machine Learning Project Algorithm 45

ProjectPro

JUNE 6, 2025

Data Collection And Preparation: In this step, you will collect and clean the required data. For this project, you will use historical sales data of the retail store along with data on promotions, seasons, and demographics. from the existing data that can help detect fraud.

Project 40

Project Machine Learning Retail BI 40

Knowledge Hut

JUNE 3, 2024

Data Science is the fastest emerging field in the world. It analyzes data extraction, preparation, visualization, and maintenance. Data scientists use machine learning and algorithms to bring forth probable future occurrences. Data Science in the future will be the largest field of study. What is Data Science?

Programming Language 96

Programming Language Entertainment Data Science Banking 96

ProjectPro

JUNE 6, 2025

Machine Learning Engineer Jobs and Growth Trends From an industry or employment perspective, Data Science is already taking a leap in all domains: IT, Healthcare, Pharma, E-commerce , Finance, etc. With the emerging big data revolution, the demand for data scientists and Machine Learning Engineers is ever increasing.

Machine Learning 40

Machine Learning Engineering Pipeline-centric Database-centric 40

ProjectPro

JUNE 6, 2025

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2023 Machine Learning and Data Science have been on the rise in the latter part of the last decade. Quite similar to classification is clustering but with the minor difference of working with unlabelled data.

Machine Learning 52

Machine Learning Coding Project Deep Learning 52

ProjectPro

JUNE 6, 2025

Employers are now focusing on RAG skills and looking for candidates proficient in retrieving and integrating relevant data into generative workflows, especially in the e-commerce, healthcare, and finance sectors. finance, legal, healthcare)? This could include ratings, corrections, or additional queries.

Healthcare 40

Healthcare Finance Medical Datasets 40

ProjectPro

JUNE 6, 2025

You must be wondering- Who are data analysts? A data analyst gathers, organizes, and analyzes data statistically. Using precise calculations and suitable algorithms, they support business decisions and enable organizations to generate higher revenues. What do they do?

Consulting 40

Consulting Healthcare Programming Language BI 40

Knowledge Hut

JANUARY 18, 2024

Data Science is strongly influenced by the value of accurate estimates, data analysis results, and understanding of those results. Data scientists, like software engineers, strive to optimize algorithms and handle the trade-off between speed and accuracy. Get to know more about SQL for data science.

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Software Engineer Software Engineering Data Science Engineering 97

ProjectPro

JUNE 6, 2025

Data science gives marketers the ability to create an intimidating lead scoring system. This system uses an algorithm to predict the conversion likelihood and appropriately segment the lead accounts. The problem with having too much raw data is that you often have too little information. Marketing Data Science Algorithms 1.

Data Science 40

Data Science Data Mining Algorithm Retail 40

Knowledge Hut

MAY 2, 2024

It means a computer or a system designed with machine learning will identify, analyse and change accordingly and give the expected output when it comes across a new pattern of data, without any need of humans. It means computers learn and there are many concepts, methods, algorithms and processes involved in making this happen.

Machine Learning 98

Machine Learning IT Deep Learning Algorithm 98

ProjectPro

JUNE 6, 2025

It helps individuals work with real-world datasets and apply statistical techniques and machine learning algorithms. This exposure enhances their ability to extract meaningful insights from data, make informed decisions, and implement their findings effectively.

Data Science 40

Data Science Project Python Machine Learning 40

ProjectPro

JUNE 6, 2025

2) Cryptocurrency Analysis AI-powered agents are transforming cryptocurrency analysis by automating data collection, trend detection, and market predictions. AI agents streamline this process by leveraging large language models (LLMs) to analyze vast amounts of data quickly, providing traders and investors with actionable insights.

Project 59

Project Building Banking Healthcare 59

Knowledge Hut

DECEMBER 27, 2023

Understanding whether a blockchain platform supports which consensus protocol is essential; thus, different consensus algorithms are available, including Proof of Work, Proof of Stake, Proof of Burn, and many more, so you can use them according to your need. Does the Platform Support Smart Contracts Functionality?

Programming Language 98

Programming Language Banking Utilities Algorithm 98

ProjectPro

JUNE 6, 2025

Data Mart: A data mart is a subset of a data warehouse built specifically for businesses such as sales, finance, etc. It is subject-oriented that helps you to collect data quickly from the sources. There are three types of data marts: Dependent Data Mart Independent Data Mart, Hybrid Data Mart.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. Depending on the needs of a company, data mining may provide a wide variety of useful data structures.

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Data Science Data Mining Deep Learning Programming Language 98