Ankit Kumartheminermind.hashnode.dev·Jul 22, 2024Understanding K-Nearest Neighbors (KNN): From Basics to Weighted KNNIntroduction K-Nearest Neighbors (KNN) is an intuitive algorithm used for classification and regression. Imagine you move to a new neighborhood and want to know the best restaurant. You ask your closest neighbors for recommendations, and the majority...Discuss·1 likeKNN algorithms
Abhishek JaiswalforAbhishek Jaiswal's team blogdataplumbing.hashnode.dev·Jul 11, 2024Exploring Graph Databases: Basics, Implementation, and Uses# Introduction : In the modern era of data-driven decision-making, managing complex and interconnected data efficiently is crucial. Traditional relational databases often fall short in handling these intricate relationships. Enter graph databases—a p...DiscussDatabases
Mouri Roymouri200.hashnode.dev·Jun 6, 2024Design patterns for data mining/machine learning projectsAs the demand for machine learning is increasing in various fields like corporate offices, hospitals, server-side services, traffic, manufacturing, and many more fields, it is important to deliver the best solutions for any problem related to machine...Discussdata machine
Sean Coughlinblog.seancoughlin.me·May 7, 2024UIUC MCS - CS 412 Review - Introduction to Data MiningSummary TLDR: CS 412: Introduction to Data Mining at UIUC is a well-rounded and rigorous course that stands out in the MCS program, offering a blend of theoretical insights and practical applications. It provides thorough training in pattern discove...Discuss·55 readsUIUC Master of Computer ScienceSchool
Ahmed Rezaahmedreza.hashnode.dev·May 6, 2024Web Scraping with Python Beautiful SoupBeautiful Soup is a Python library designed for web scraping HTML and XML files. It offers a convenient way to extract data from web pages by parsing the HTML/XML markup and navigating the document's structure. Here's why Beautiful Soup is useful for...DiscussPython
Mark williamstechcapital.hashnode.dev·Apr 16, 2024Unveiling Essential Data Mining Techniques: Your Gateway to InsightWelcome back, data enthusiasts! Today, we embark on an exciting journey into the world of critical data mining techniques. Whether you're a seasoned data scientist or just starting to dip your toes into the vast ocean of data, understanding these fun...DiscussData Science
Ali YazdizadehforDataChef's Blogblog.datachef.co·Apr 9, 2024FP-Growth Algorithm and How to Avoid Its Dark Side!Context A few weeks ago we were contacted by FrieslandCampina to help them with a problem they faced on their recommendation engine. Being one of the biggest dairy companies in the world they sell hundreds of dairy products to millions of customers a...Discuss·2 likes·86 readsPySpark
Binal Weerasenabinalweerasena.hashnode.dev·Mar 7, 2024Strategies for Handling Missing ValuesIn the domain of Data Mining, it is quite important to handle the missing values and outliers in a dataset since it would immensely affect the data analysis and the business decisions if not properly taken care of. Although it seems negligible for be...Discuss·51 readsData Science
Vaishali palvaishalipal.hashnode.dev·Feb 20, 2024Data-Driven Discoveries: Charting the Course with Data ScienceIntroduction In the ever-evolving landscape of technology, data has emerged as the driving force behind transformative breakthroughs. The field of data science has become a beacon of innovation, guiding industries and researchers alike toward new hor...Discuss·104 readsData Science
Vinay Borkarvinaytechbytes.hashnode.dev·Feb 18, 2024Understanding Clustering in Machine Learning: Unveiling Patterns in DataIn the realm of machine learning, clustering stands as a powerful unsupervised learning technique that unveils hidden patterns within datasets. From customer segmentation to image analysis, clustering algorithms group data points together based on si...Discuss·202 readsData Science
