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A friendly introduction to the world of AI chatbots, transformers, and everything in between Table of Contents What is Generative AI? AI Chat Models Transformers: The Magic Behind AI Tokens: How AI Understands Text Encoders and Decoders LangCh...
Table Of Content 1. Intro To SHAP 2. SHAP Summary Plot 3. SHAP Force Plot 4. SHAP Dependence Plot 5. SHAP Waterfall Plot 6. SHAP Interaction Plot 7. SHAP Decision Plot 8. SHAP Beeswarm Plot # Import required libraries import pandas as pd im...
Table Of Content 1. Introduction 2. Why Selecting The Correct Chart Is Important 3 Charts Guide With Examples Bar Plot Pie Plot Scatter Plot KDE Plot Box Plot Rainfall Plot CDF Plot ECDF Plot Histogram Heatmap 1. Introduction: ...
Tired of wrestling R's output into submission for your manuscript? Enter easystats, your knight in shining armor! This R package collection offers a suite of tools designed to streamline your statistical workflow, taking you seamlessly "From R to you...
Have you ever wondered how computers understand and execute our commands? The answer lies in the art and science of computer programming. It's like teaching a computer a new language, giving it precise instructions to perform tasks that would be tedi...
When tasked with fitting a line to data, least squares regression is often the first technique analysts reach for. Its simplicity, ease of implementation, and widespread acceptance make it a cornerstone of statistical modeling. But is it always the b...
Table of Content 7 Moving Beyond Linearity 7.1 Polynomial Regression 7.2 Step Functions 7.3 Basis Functions 7.4 Regression Splines 7.4.1 Piecewise Polynomials 7.4.2 Choosing the Number and Locations of the Knots 7.5 Smoothing Splines ...
Imagine you're playing darts. You don't want to be a one-hit wonder who can only hit the bullseye when you've practiced on that exact spot. You want to be a pro who can nail it every time, no matter the dartboard. Statistical learning is the same. We...
Table of Content 6. Linear Model Selection and Regularization 6.1 Subset Selection 6.1.1 Best Subset Selection 6.1.2 Stepwise Selection 6.1.3 Choosing the Optimal Model 6.2 Shrinkage Methods 6.2.1 Ridge Regression 6.2.2 The Lasso 6.3 Dimensi...
