ProjectPro

JUNE 6, 2025

With over 54 repositories and 20k stars, Streamlit is an open-source Python framework for developing and distributing web apps for data science and machine learning projects. Engineers can easily create highly dynamic online applications based on their data, machine learning models, etc., using Streamlit.

Python

ProjectPro

JUNE 6, 2025

This blog covers the top 15 GPUs for machine learning and also guides you through the relevant factors to consider to make an informed decision when selecting a GPU for your next machine learning project. This statistic is a clear indicator of the fact that the use of GPUs for machine learning has evolved in recent years.

Machine Learning

ProjectPro

JUNE 6, 2025

In the world of machine learning, it's no different! Developing a powerful model is just the first step in machine learning projects; the real magic lies in its deployment. Table of Contents What is Model Deployment in Machine Learning?

Machine Learning

ProjectPro

JUNE 6, 2025

Python is one of the most popular programming languages in the world of Data Science and Machine Learning. The special tools called Python Machine Learning Libraries make all the cool stuff happen! These libraries are not just tools but the building blocks of modern data science and machine learning projects.

Machine Learning

ProjectPro

JUNE 6, 2025

Before we dive into the technical details of the deep learning models, let us first understand how deep learning proves to be beneficial over traditional machine learning. Table of Contents Why Deep Learning Algorithms over Traditional Machine Learning Algorithms? What is Deep Learning?

Deep Learning

ProjectPro

JUNE 6, 2025

As businesses and researchers are working hard to leverage the full potential of artificial intelligence (AI) and machine learning , the limitations of real-world data are becoming increasingly apparent. Synthetic data generation allows for the creation of large, diverse datasets that can fill these gaps.

Healthcare

ProjectPro

JUNE 6, 2025

Spark uses Resilient Distributed Dataset (RDD), which allows it to keep data in memory transparently and read/write it to disc only when necessary. Spark Projects for Data Engineers Learn to Write Spark Applications using Spark 2.0 Analysis and Visualization on Yelp Dataset Explore more Apache Spark Data Engineering Projects here.

Data Engineering

ProjectPro

JUNE 6, 2025

Data scientists and machine learning engineers often come across this scenario where the data for their project is not sufficient for training a machine learning model, often resulting in poor performance. Given enough training data, machine learning models can smoothly solve challenging problems.

Deep Learning

ProjectPro

JUNE 6, 2025

Machine learning has evolved as a transformative force in today's data-driven world, enabling us to uncover hidden insights and make data-informed decisions. At the heart of this revolutionary field lies a multitude of machine learning algorithms, each designed to tackle a plethora of challenges.

Machine Learning

ProjectPro

JUNE 6, 2025

Model selection is a crucial step when working on machine learning projects that can significantly impact the accuracy and efficiency of the projects. This blog will explore various strategies and techniques for optimal model selection in machine learning. Table of Contents What Is Model Selection in Machine Learning?

Machine Learning

Monte Carlo

AUGUST 6, 2025

It means biased hiring algorithms, flawed medical diagnoses, and financial models that miss critical risks. AI data quality is the measure of how well data supports the training, validation, and operation of machine learning models. Machine learning algorithms find patterns in whatever data you provide.

IT

Edureka

APRIL 28, 2025

Vision Language Models (VLMs) represent a substantial development in machine learning by merging computer vision with natural language processing (NLP) capabilities. Open-source Vision Language Models are machine learning models that use visual and language input to predict or generate answers.

Datasets

ProjectPro

JUNE 6, 2025

This blog will deeply explore transformers architecture in machine learning, including everything you need to know about transformers. According to a survey conducted by Analytics Insight, 62% of data scientists and machine learning experts consider transformers the most innovative technology in the field of NLP.

Machine Learning

ProjectPro

JUNE 6, 2025

The system connected to electronic health records and multiple medical databases, leading to impressive results: a 30% reduction in misdiagnoses for complex cases, a 25% decrease in the time doctors spent reviewing literature, and a 40% increase in early detection of rare diseases. Tools like IBM Watson Health exemplify this application.

Medical

ProjectPro

JUNE 6, 2025

Vector embeddings are often used in AI and machine learning applications, such as natural language processing (NLP) and computer vision, to capture the semantic relationships between data points. Imagine you are working on an AI project to create a movie recommendation system. Source: [link] What is Chroma DB Used For?

Database

ProjectPro

JUNE 6, 2025

Developed by the Google Brain Team, TensorFlow is an open-source deep learning framework that helps machine learning engineers and data scientists build models and deploy applications easily. Check out this solved project to learn How to Build an OCR from scratch ?

Project

ProjectPro

JUNE 6, 2025

Table of Contents What is NLTK in Machine Learning? FAQs on Python NLTK What is NLTK in Machine Learning? For that purpose, we need a specific set of utilities and algorithms to process text, reduce it to the bare essentials, and convert it to a machine-readable form.

Building

ProjectPro

JUNE 6, 2025

Practical application is undoubtedly the best way to learn Natural Language Processing and diversify your data science portfolio. Many Natural Language Processing (NLP) datasets available online can be the foundation for training your next NLP model. However, finding a good, reliable, and valuable NLP dataset can be challenging.

Datasets

Edureka

MARCH 26, 2025

In this article, we will be diving into the world of Data Imputation, discussing its importance and techniques, and also learning about Multiple Imputations. Data imputation is the method of filling in missing or unavailable information in a dataset with other numbers. What Is Data Imputation?

Medical

ProjectPro

JUNE 6, 2025

You can also try your hands-on Inventory Demand Forecasting Data Science Project to develop a machine learning model to forecast inventory demand accurately based on historical sales data. It uses Machine learning algorithms to find transactions with a higher probability of being fraudulent.

Data Science

ProjectPro

JUNE 6, 2025

Dense Passage Retrieval (DPR) Dense Passage Retrieval (DPR) is a complex technique in natural language processing that employs dense vector representations to improve the retrieval of relevant passages from large datasets. Source: Research gate For instance, consider a dataset of research papers on machine learning.

Engineering

ProjectPro

JUNE 6, 2025

Implementing machine learning projects has its own challenges. 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.

Machine Learning

ProjectPro

AUGUST 2, 2025

This blog also covers popular tools, real-world examples, and the role of annotators in building reliable machine learning systems. Behind every “intelligent” system that you use today is a massive amount of labeled data that teaches machines how to understand the world. FAQs What is Data Annotation in AI?

Medical

ProjectPro

JUNE 6, 2025

Looking for a unified interface for all your machine learning and big data tasks? Also, the Synapse Analytics Studio has everything that data teams need, making it easier to combine artificial intelligence, machine learning, IoT (internet of things), smart apps, or business intelligence on one unified platform.

Data Engineering

ProjectPro

JUNE 6, 2025

AI in data analytics refers to the use of AI tools and techniques to extract insights from large and complex datasets faster than traditional analytics methods. Instead of spending hours cleaning data or manually looking for trends, it uses advanced machine learning and AI algorithms to automate the process.

Data Analytics

ProjectPro

JUNE 6, 2025

This data warehouse is accessible to data analysts and scientists and helps them perform data science tasks like data visualization , statistical analysis, machine learning model creation, etc. This dataset covers 6,685,900 reviews, 192,609 businesses, and 200,000 photos across ten metropolitan areas.

Project

ProjectPro

JUNE 6, 2025

BART Architecture Explained BART Model for Text Summarization Machine Learning Project Ideas for Practice using BART Speech-to-Text or Automatic Speech Recognition (ASR) Extractive Summarization of Scholarly Articles Generating SQL queries from Natural Text What is the BART HuggingFace Transformer Model in NLP?

BI

Edureka

FEBRUARY 12, 2025

Built by Google, BERT revolutionizes machine learning for natural language processing, opening the door to more intelligent search engines and chatbots. Next Sentence Prediction (NSP): By anticipating whether another will follow a sentence, BERT learns the links between sentences. legal, medical).

IT

ProjectPro

JUNE 6, 2025

This blog serves as a comprehensive guide on the AdaBoost algorithm, a powerful technique in machine learning. Before the AdaBoost machine learning model , most algorithms tried their best but often fell short in accuracy. Its adaptability to handle complex medical datasets assists in accurate disease classification.

Algorithm

ProjectPro

JUNE 6, 2025

We'll explore various data engineering projects, from building data pipelines and ETL processes to creating data warehouses and implementing machine learning algorithms. Azure Machine Learning: It can analyze data stored in the data warehouse and provide insights into manufacturing processes.

Coding

ProjectPro

JULY 4, 2025

These models often struggle with factual accuracy, fail to meet industry-specific compliance standards, and lack the domain specific knowledge needed for high-stake tasks such as legal drafting, medical reasoning, or financial forecasting. Their objective is broad: to perform reasonably well across a wide range of tasks and topics.

Project

ProjectPro

JUNE 6, 2025

The diverse dataset, consisting of tables such as City Weather, Routes, Drivers, and more, offers unique insights into truck logistics. This step involves integrating and storing the diverse dataset in a structured manner, allowing for efficient retrieval and analysis. This is where the magic happens!

Data Integration

ProjectPro

JUNE 6, 2025

Think about a situation where a doctor is listed as a care provider in the medical database. Query parameters include a subset of the dataset's data values. Here’s how we can model the given tables with similar dimensions- Access Data Science and Machine Learning Project Code Examples FAQs on Data Modeling Interview Questions 1.

Data Warehouse

ProjectPro

JUNE 6, 2025

FAQs What is Transfer Learning in Deep Learning? Transfer learning is a machine learning technique that leverages knowledge gained from one task to improve performance on another, typically related, task. This pre-trained model has already learned to identify various shapes, textures, and features in images.

Deep Learning

ProjectPro

JUNE 6, 2025

About 48% of companies now leverage AI to effectively manage and analyze large datasets, underscoring the technology's critical role in modern data utilization strategies. Traditional data analysis methods can be time-consuming, requiring manual effort to clean, process, and interpret large datasets.

Data Analytics

ProjectPro

JUNE 6, 2025

Most healthcare providers have between 50% and 90% of their data segregated, which limits breakthroughs in medical treatments and discoveries while ensuring regulatory compliance. Doctors may run a query on an MRI and display a patient's medical history alongside it.

Healthcare

ProjectPro

JUNE 6, 2025

RASA supports both machine-learning-based and rule-based approaches, making it versatile for a wide range of applications, from customer support to automated virtual assistants. It's also well-suited for academic research, where agents can navigate large datasets, journals, and studies to deliver up-to-date, topic-specific insights.

Building