TemiTope Kayodeblog.codewithtemi.site·Dec 13, 2024Using AI to Optimise Database Queries in Django ApplicationsIntroduction As your Django app grows, be it the number of users, the amount of data, or the complexity of your business logic, database queries often become a real headache. Slow queries can drag down your entire user experience, loading pages slugg...4.2K readsAI
Audrey HansellforAudomadic Regression for Bike Sharesaudomadic-regression-predicting-bike-shares.hashnode.dev·Dec 4, 2024Audomadic Regression for Bike SharesWritten by Audrey Hansell and Maddy Brown, DIS Machine Learning Fall 2024 Introduction Bike sharing systems have become increasingly common in cities across the US and all over the world. Bike sharing has helped reduce traffic congestion, encouraged ...2 likes·28 readsBike Sharing
Weskillweskill.hashnode.dev·Dec 1, 2024Top Machine Learning ToolsIntroduction Machine learning tools are software frameworks, platforms, or libraries that enable developers to build, train, and deploy models efficiently. These tools cater to tasks like data preprocessing, model selection, training, evaluation, and...Machine Learning algorithm
pallavi chauhaninnovateitworld.hashnode.dev·Nov 26, 2024Why Python is the Ultimate Programming Language for Data ScienceData science is revolutionizing industries by uncovering actionable insights from raw data. To excel in this field, choosing the right programming language is crucial. Among the many options available, Python has firmly established itself as the go-t...PyTorc,
Anshul Gargmymlopsjourney.hashnode.dev·Nov 4, 2024Feature Engineering with SageMaker ProcessingIntroduction In machine learning, pre-processing large datasets efficiently is a critical task. AWS SageMaker Processing offers a scalable, manageable way to run pre-processing, post-processing, and model evaluation on powerful managed clusters, free...AWS
Roemairoemai.hashnode.dev·Oct 21, 2024Real-Life House Price Prediction with Linear RegressionPredicting house prices is a key part of real estate analytics, and in this project, I’ll walk you through how I built a machine learning model using linear regression to predict house prices. Project Overview We start with a dataset that contains in...Artificial Intelligence
Rahul Tiwariadvanced-ml-insights-with-scikit-learn.hashnode.dev·Oct 13, 2024Advanced Machine Learning with Scikit-learn: A Deep DiveMachine learning (ML) is transforming industries by allowing companies to uncover patterns, make predictions, and improve decision-making. While there are numerous ML libraries, Scikit-learn stands out due to its simplicity and power. Whether you’re ...2 likesscikit learn
Kshitij Shresthkshitijshresth.hashnode.dev·Sep 29, 2024Mathematical TransformersWhen dealing with data, transforming columns using mathematical functions can significantly improve the performance of machine learning models. By applying various transformations, we can adjust the probability density function of our data to approxi...10 likestransformers
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 16, 2024How to Use Scikit-learn for Classification Tasks: A Comprehensive GuideClassification is one of the most common tasks in machine learning, where the objective is to categorize data points into predefined labels or classes. Whether you're building a spam filter, diagnosing diseases, or identifying objects in an image, cl...11 likes·67 readsMachine LearningPython
Emeron Marcelleemerondomain.hashnode.dev·Sep 15, 2024A Deep Dive into Supervised Learning Models in Scikit-learnSupervised learning is one of the most popular types of machine learning where the model learns from labeled data. In this post, we will explore some widely-used supervised learning models in the Scikit-learn library, highlighting their advantages, k...Supervised learning
