Nischal Baidarnischalbaidar.hashnode.dev·Oct 17, 2024🤖 Machine Learning Terms You Must Know1. 🧠 Algorithm Definition: A set of rules or steps that a machine follows to make decisions or predictions. Real-life example: Like a chef following a recipe to bake a cake 🍰, an ML algorithm follows specific steps to learn from data and make pre...easyterms
Dharshini Sankar Rajdharshinisankarraj.hashnode.dev·Oct 8, 2024Sampling on DatasetsOnce you’ve created a dataset, you want to explore the values inside. Exploring very large datasets can be difficult, as even simple operations can be expensive, both in terms of computational resources and time. The same sampling principle applies t...1 likeData Science
Prasun Dandapatprasunspace.hashnode.dev·Sep 29, 2024Comprehensive Guide to Data Preprocessing in Python for Machine LearningData preprocessing is a crucial step in the machine learning pipeline to ensure the data is clean, organized, and in a format suitable for training models. Here’s an overview of key topics typically included in data preprocessing: Topics in Data Prep...Machine Learning
Aakashi Jaiswalaakashi.hashnode.dev·Sep 26, 2024Empathy Through AIIn this blog, I am going to share some updates of my bot, that I am building. This bot is an Empathetic Mental support bot, which will become your AI companion you share anything with it and can express how you're feeling and many more!! Today, I wil...2 likesArtificial Intelligence
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
Sam Schneiderblog.samschneider.me·Aug 12, 2024How to Create Your First Hugging Face DatasetModern AI tooling is mainly based on building models trained by lots of data rather than developing clever algorithms. This means that once you move beyond the basics of calling models others have developed and want to start training your own models,...126 readshuggingface
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 ...dataset
Isaac Onyeakagbuisaacwrites.hashnode.dev·Jun 29, 2024First Glance Analysis of the Titanic DatasetINTRODUCTION This report presents an initial analysis of the Titanic dataset, which contains information about passengers aboard the ill-fated maiden voyage of the RMS Titanic. This review is to identify immediate insights that can be gleaned from a ...titanic
Nirmal Pandeybitsnotion.com·Apr 22, 2024Mastering the Fundamentals of PandasPython is a powerful tool for data professionals, largely due to its extensive collection of open-source libraries and packages. In this blog, we'll explore the fundamentals of pandas, with a special focus on its core data structures: Series and Data...9 likesData & Analytics InsightsPython 3
Priyapeeplika.hashnode.dev·Mar 16, 2024Interactive Visualization With Jupyter -Hey everyone, I was researching similar libraries to ipywidgets as I am preparing for a GSoC project. To my surprise, there are so many! I would like to mention this paper - (https://www.researchgate.net/publication/350539347_Interactive_Data_Visuali...10 likes·33 readsjupyter widgets
