ProjectPro

JUNE 6, 2025

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. Use machine learning algorithms to predict winning probabilities or player success in upcoming matches.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

It gives an idea of which set of variables will best serve as the input to a machine learning/ deep learning model. As a step ahead, you can also implement a clustering machine learning algorithm like K-means to classify the flowers. You will also learn how to perform univariate analysis.

Data Analysis 40

Data Analysis Python Project Hospitality 40

ProjectPro

JUNE 6, 2025

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 69

Business Intelligence Coding Project BI 69

ProjectPro

JUNE 6, 2025

Cognitive Engines: Deep learning and machine learning models that enable decision-making, reasoning, and strategy development. Memory Systems: Persistent data structures that allow agents to learn from past interactions. Machine Learning and Deep Learning: Building multiple models that underscore intelligent behavior.

Medical 64

Medical Healthcare Deep Learning Hospitality 64

ProjectPro

JUNE 6, 2025

The most common example is stock price prediction using machine learning , where minor events of the week can send the market prices in disarray before settling down again in a few days. Unlike other machine learning models, it cannot assign custom weights to different feature columns based on their relationship.

Hospitality 40

Hospitality Data Science Datasets Machine Learning 40

ProjectPro

JUNE 6, 2025

Heart Disease Prediction using Machine Learning in Python is the next project in our machine learning project series of blogs after Stock Price Prediction , Credit Card Fraud Detection , Face Emotion Recognition , MNIST Handwritten Digit Recognition , How to Make a Chatbot in Python from Scratch , and many others.

Machine Learning 45

Machine Learning Project Medical Datasets 45

ProjectPro

JUNE 6, 2025

At the core of such applications lies the science of machine learning, image processing, computer vision , and deep learning. This application is increasingly and readily being deployed for tracking attendance and identity verification in places like airports, corporates, schools, hospitals, etc.

Python 73

Python Process Deep Learning Algorithm 73

ProjectPro

JUNE 6, 2025

Machine learning for time series is often a neglected topic. Learning time series analysis and modeling techniques can be overwhelming. Or there are high chances that you will lose motivation to master time series concepts because of the amount of time you spend learning and understanding the model.

Project 45

Project Datasets Python Banking 45

ProjectPro

JUNE 6, 2025

Healthcare has long been one of human perseverance and innovation, but today, it's also a story of numbers, algorithms, and insights hidden within vast datasets. They possess the expertise to create algorithms and software systems, enabling them to decipher unstructured data for specific healthcare purposes.

Healthcare 40

Healthcare Data Science Hospitality Medical 40

ProjectPro

JUNE 6, 2025

Build the different machine learning models such as k neighbors classifier, SVM, Random Forest, and Decision Tree using Scikit Learn. You will observe that K-nearest neighbors perform the best on the UCI dataset after experimenting with five machine learning models to predict heart disease.

Healthcare 40

Healthcare Portfolio Project Hospitality 40

ProjectPro

JUNE 6, 2025

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 64

Algorithm Medical Datasets Python 64

ProjectPro

JUNE 6, 2025

Source Code: Check out some exciting text summarization LLM projects on GitHub, such as the ‘ News Article Text Summarizer ’ that involves extractive and abstractive text summarization of news articles using the T5 (Text-To-Text Transfer Transformer) model and text ranking algorithms.

Project 49

Project Medical Hospitality Healthcare 49

ProjectPro

JUNE 6, 2025

An approach to performing customer market basket analysis can be done using Apriori and Fp Growth data mining algorithms. Source Code: Market Basket Analysis using Apriori and Fp Growth Algorithms 2) Reducing Manufacturing Failures Product-based companies have the task of ensuring that their products are top of the notch.

Data Analytics 40

Data Analytics Project Insurance Datasets 40

ProjectPro

JUNE 6, 2025

The most trusted way to learn and master the art of machine learning is to practice hands-on projects. Projects help you create a strong foundation of various machine learning algorithms and strengthen your resume. Each project explores new machine learning algorithms, datasets, and business problems.

Portfolio 40

Portfolio Project Algorithm Datasets 40

ProjectPro

JUNE 6, 2025

AI can think independently: AI models follow predefined algorithms and lack true understanding. Finance: Fraud detection and algorithmic trading. Machine Learning (ML) – AI that learns from data. What is the concept of Local Optima, and how does it affect local search algorithms? Amazon, Netflix).

Deep Learning 71

Deep Learning Machine Learning Algorithm Medical 71

ProjectPro

JUNE 6, 2025

Algorithms analyze data provided by healthcare professionals to anticipate the most likely diagnosis. This, in turn, can help save costs by avoiding unnecessary care or hospitalization. Explore innovative research methods to improve data analysis, such as machine learning algorithms or natural language processing approaches.

Healthcare 49

Healthcare Medical Electronics Hospitality 49

ProjectPro

JUNE 6, 2025

Imagine a hospital collecting large volumes of patient information, like test results, treatments, and demographics. They use advanced statistical and machine-learning techniques to identify patterns and trends in the data. This involves analyzing patient outcomes, hospital operations, and resource utilization data.

Healthcare 40

Healthcare Medical Hospitality Electronics 40

ProjectPro

JUNE 6, 2025

Image Processing Projects Ideas in Python with Source Code for Hands-on Practice to develop your computer vision skills as a Machine Learning Engineer. Input Image: Output Image: There are plenty of readily available functions in OpenCV, MATLAB, and other popular image processing tools to implement a grayscaling algorithm.

Coding 49

Coding Python Process Project 49

ProjectPro

JUNE 6, 2025

Patient Outreach Optimization Hospitals and pharmacies leverage predictive algorithms to examine patient data and develop dynamic customer personas with individual preferences and habits. You can analyze the dataset and apply predictive algorithms such as the K-Nearest Neighbor algorithm.

Project 73

Project Retail Banking Hospitality 73

ProjectPro

JUNE 6, 2025

Will machine learning replace the jobs of doctors or instead give us better health in the coming years? Some researches and studies have shown that machines surpass humans in the diagnosis of diseases. No doubt, machine learning algorithms do better at disease diagnosis, but it is still far from replacing doctors.

Machine Learning 61

Machine Learning Healthcare Project Medical 61

AltexSoft

MAY 27, 2022

How many days will a particular person spend in a hospital? This article describes how data and machine learning help control the length of stay — for the benefit of patients and medical organizations. In the US, the duration of hospitalization changed from an average of 20.5 Why is the length of stay important?

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

Striim

JULY 23, 2024

Real-time data and machine learning are revolutionizing how hospitals operate and deliver care. By adopting a data-driven approach to hospital optimization, healthcare professionals’ jobs become more efficient, allowing them to focus more on what truly matters: Patient health. What is Machine Learning in Healthcare?

Hospitality 52

Hospitality Healthcare Machine Learning Electronics 52

AltexSoft

JUNE 16, 2022

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? So, how would you measure the success of a machine learning model?

Machine Learning 91

Machine Learning Hospitality Retail Medical 91

Knowledge Hut

JANUARY 29, 2024

” In this article, we are going to discuss time complexity of algorithms and how they are significant to us. The Time complexity of an algorithm is the actual time needed to execute the particular codes. The " Big O notation" evaluates an algorithm's time complexity. Then, check out these Programming courses.

Algorithm 98

Algorithm Programming Language Python Java 98

Knowledge Hut

AUGUST 1, 2023

Ever wondered how machine learning can revolutionize the healthcare industry? Machine learning is a way in which artificial intelligence is used to train algorithms or computers. The latest developments have empowered these algorithms to prompt or better even to take actions, as needed.

Machine Learning 52

Machine Learning Medical Healthcare Hospitality 52

AltexSoft

MAY 5, 2023

AI in a nutshell Artificial Intelligence (AI) , at its core, is a branch of computer science that focuses on developing algorithms and computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making.

Machine Learning 59

Machine Learning Hospitality Algorithm Deep Learning 59

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Yet, in both cases, the necessity to comply with regulations adds an extra step to the preparation of datasets for machine learning. Medical data labeling. Let’s sum up.

Medical 52

Medical Datasets Machine Learning Hospitality 52

AltexSoft

NOVEMBER 15, 2022

Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.

Hospitality 52

Hospitality Building Datasets Machine Learning 52

AltexSoft

JUNE 21, 2023

Navigating the increasingly competitive hospitality sector landscape demands a thorough grasp of the vital performance indicators that display profitability. We also investigate predicting ADR through machine learning and strategies to enhance this KPI. ADR , in the hospitality industry, stands for the average daily rate.

Hospitality 52

Hospitality Management Machine Learning Datasets 52

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. Such a platform enables an organization to curate different types of data from diverse sources and identify which data to feed to ML algorithms to generate meaningful insights, he said.

Hospitality 88

Hospitality Medical Data Lake Healthcare 88

Knowledge Hut

OCTOBER 26, 2023

In the world of machine learning, where data-driven solutions have the power to transform industries and empower individuals, if you're new to this exciting field and eager to embark on your machine-learning journey, you're in the right place. What is Machine Learning, and why are ML projects interesting?

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

JANUARY 18, 2024

It also helps organizations to maintain complex data processing systems with machine learning. A skilled data scientist can directly apply the data collected through Machine Learning and Artificial Intelligence to businesses. Get to know more about data science management.

Data Science 96

Data Science Computer Science Programming Language Machine Learning 96

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. On the surface, ML algorithms take the data, develop their own understanding of it, and generate valuable business insights and predictions — all without human intervention. In truth, ML involves an enormous amount of repetitive manual operations, all hidden behind the scenes.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

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

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Snowflake

JULY 11, 2023

Over 500 healthcare AI algorithms have been approved by the U.S. hospitals that have implemented AI has tripled since 2020, says MIT xPRO. To design better screening guidelines, sharpen those algorithms, make them better and more effective. We have to get insurers on board and hospitals signing off and more.

Healthcare 68

Healthcare Hospitality Medical Pharmaceutical 68

ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

Algorithm Medical Datasets Python 52