Chibueze Onyekperedevdive.hashnode.dev·Jul 19, 2024Effective Techniques for Handling Imbalanced Datasets: My Proven ApproachThe Magic of Oversampling for Machine Learning 🧙♂️📊 Hey there, data enthusiasts! Ever found yourself knee-deep in a dataset, only to realize one class is hogging all the limelight while the others are barely getting a chance to shine? Yeah, we’ve ...Discussdataset
VivekProheyvivek.com·Jul 7, 2024How I Became the Victim of One More Feature Trap While Building Hire.winBeing a tech lead with several years of experience in software development, I was proud of my project management skills and the ability to deliver on time like any other decent tech lead. However, even devoted and seasoned developers sometimes fall i...Discuss·10 likesone more feature trap
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Jun 18, 2024How to Select the Right Features: A Practical GuideMachine learning (ML) models heavily rely on the quality and relevance of the features used to train them. Features are the input variables that a model uses to make predictions or decisions. Selecting the right features is crucial for building accur...DiscussMachine Learning
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Jun 17, 2024Real World ML: The Hashing Trick: An Elegant Solution to Dynamic Category EncodingHave you ever encountered a situation where your ML model is not doing well in production due to encountering a category it hasn't seen before? Or perhaps your model treats new categories the same way it treats unpopular or unknown ones, leading to s...DiscussMachine Learning
Niharika Khannaniharikakhanna.hashnode.dev·May 29, 2024Mastering Feature Engineering: A Comprehensive Exploration of Concepts, Techniques, and Best PracticesFeature Engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy. It ensures that the data is well-prepared and organized for effecti...Discussfeature-transform
Daniel Olusesitechvillian.hashnode.dev·May 2, 2024Feature Engineering: Conforming Unprocessed Data for Effective Machine LearningImagine you're a chef preparing a delicious meal. You wouldn't throw random ingredients into a pot and expect a masterpiece. Instead, you meticulously select, chop, and prepare each element to bring out its best qualities and ensure everything comple...Discuss·82 readsfeature engineering
proximusembedded08.hashnode.dev·Apr 4, 2024Column Transformation in Machine LearningDiscover the key techniques and strategies for effective column transformation in machine learning. Understanding Column Transformation Column transformation is a technique used in machine learning to preprocess data before feeding it into a model. I...DiscussMachine Learning
LAKSHMI PRABHA Slakshmiprabha.hashnode.dev·Mar 28, 2024Feature Engineering Explained for Curious Minds😎Introduction: Imagine you have a big box of LEGO bricks 🧱. Each brick is like a piece of information about something. Maybe it's how tall someone is, or how fast a car 🚓can go. Now, just having lots of LEGO bricks doesn't really make anything excit...Discuss·12 likesfeature construct
TJ GokcenProtjgokcen.com·Feb 21, 2024Part 2: Data Collection and Preparation for Machine LearningIntroduction: The Foundation of Machine Learning The journey towards creating a robust machine learning model begins long before the first line of code is written—it starts with data. That's right, data is the real hero of our story. The collection a...DiscussAn Introduction to Data Training: Laying the Foundation for Machine LearningMachine Learning
Konrad RyłkoProagileandcode.com·Feb 19, 2024Optimize ML with Feature EngineeringIn this article, I'll focus on getting as much value as possible from training data, particularly features. We'll continue our journey started in Linear Regression model using Elixir and Nx. Let's jump into the practice and learn how to squeeze lemon...Discuss·1 likeMachine Learning in ElixirMachine Learning