PinnedRayan YassminhUncovering the Optimal Number of Clusters: Part 1 “Introduction & Background”Clustering is a method that involves dividing data points into groups, referred to as clusters. Each cluster contains similar data points…Feb 12, 2023Feb 12, 2023
PinnedRayan YassminhClustering Time Series : Analysis of Housing Prices in Bexar County, TX from 1996 to 2020Clustering time series is a powerful technique utilized to group similar time series data based on their underlying patterns and…May 5, 2023May 5, 2023
PinnedRayan YassminhWhat Are the Differences between Accuracy and Precision?While Wyatt Earp’s quote “Fast is fine, but accuracy is everything” emphasizes the significance of accuracy, it is worth noting that…Jun 13, 2023Jun 13, 2023
PinnedRayan YassminhMachine Learning Models with AWS SageMaker: Step 1, Pre-processing.Recently, I have been learning computing in AWS and from my learning journey I will share some of my notes and examples with you. In…Jan 22, 2023Jan 22, 2023
PinnedRayan YassminhWhen do we need to one-hot encode?Probably through your journey in learning data science, you have learned that all independent classes in categorical features should be…Dec 28, 2022Dec 28, 2022
Rayan YassminhCovariance and Correlation in Machine Learning: Practical Applications and InsightsIn machine learning, everything revolves around variables — the features we use to describe our data and make predictions. Understanding…1d ago1d ago
Rayan YassminhIntroduction to Generative AI in Machine LearningWelcome to the exciting world of Generative AI! Imagine a machine that understands data and creates new content — writing stories…Sep 5Sep 5
Rayan YassminhThe AI Assistant You’ve Always Wanted: Build Your RAG!An Introduction to Retrieval-Augmented Generation and How to Implement It.Aug 23Aug 23
Rayan YassminhPractical Applications of Information Theory in Machine LearningThe landscape of data tools is ever-changing. Each day, new libraries and tools are introduced, but they all rely on fundamental…Jul 8Jul 8