Anshul GargforMLOps Learning Journeymymlopsjourney.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...DiscussAWS
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...DiscussArtificial 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 ...Discuss·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...Discuss·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...Discuss·11 likes·53 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...DiscussSupervised learning
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 12, 2024Top Python Libraries for Data Science in 2024The rapid growth of data science has led to the emergence of a powerful ecosystem of Python libraries designed for every step of the data science workflow: data manipulation, visualization, machine learning, deep learning, and statistical analysis. I...Discuss·11 likes·36 readsPythontop python libraries for data science in 2024
Ojo Timilehincampeone.hashnode.dev·Sep 12, 2024Enhancing Financial Security: Credit Card Fraud Detection With Random Forest ClassifierMachine learning has revolutionized various industries in our world today. From manufacturing to retail, to healthcare, machine learning has improved productivity, and efficiency, optimized business costs, and even facilitated better decision-making....DiscussMachine Learning
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Sep 9, 2024How to Create and Train a Machine Learning Model from ScratchMachine learning (ML) has revolutionized the way we approach problem-solving, enabling computers to learn from data and make decisions or predictions. In this blog, we’ll walk through the process of creating and training a machine learning model from...Discuss·168 readsMachine Learningbuild model
Emeron Marcelleemerondomain.hashnode.dev·Sep 8, 2024Data Preprocessing in Machine Learning with Scikit-learnData preprocessing is a crucial step in the machine learning pipeline. It helps in preparing the data for modeling by transforming features, scaling data, handling missing values, and encoding categorical variables. In this post, we will explore comm...DiscussPython 3
