Well, we all can see what ChatGPT is bringing into our lives. For fun, I asked this remarkable AI to “write a poem on surrender” and here are the three writings!! [Please note, I did not change a single word in the writings:)] Evaluate yourself and think about what you…

by ChatGPT Separation, like a storm that brews Tearing apart what once was true Leaves us feeling lost and blue A heartache that nothing can subdue Memories linger like a ghost Of what we had and loved the most But now it’s gone, a thing of the past Leaving us to bear the…

K-means, Agglomerative, Silhouette Coefficient, Silhouette Score, Unsupervised Learning, Density-based clustering, DBSCAN, OPTICS — This article is a part of “Data Science from Scratch — Can I to I Can”, A Lecture Notes Book Series (Part-3). (click here to get your copy of Part-1 & Part-2 today) Click here for the previous article/lecture on “A46: Evaluating Clustering Algorithm — Unsupervised Machine Learning”.

K-means, K-medoids, Agglomerative, Silhouette Coefficient, Silhouette Score, Unsupervised Learning, Clustering — This article is a part of “Data Science from Scratch — Can I to I Can”, A Lecture Notes Book Series (Part-3). (click here to get your copy of Part-1 & Part-2 today) Click here for the previous article/lecture on “A45: Clustering — Unsupervised Machine Learning” 💐Click here to FOLLOW…

k-means, k-medoids, Agglomerative — Hierarchical clustering, Dendrogram, DBSCAN, OPTICS — This article is a part of “Data Science from Scratch — Can I to I Can”, A Lecture Notes Book Series. (click here to get your copy today!) Click here for the previous article/lecture on “A44: Support Vector Machines (SVMs) vs Logistic Regression — Practice & Comparisons [complete project with…

Survivorship bias or survival bias — “I want to be as successful as Bill gates and Mark Zuckerberg are. School is boring, I don’t want to attend the school, even Bill gates and Mark Zuckerberg did not finish their school, they dropped out!” This is a typical thinking that has been developed over the years in…

A step-by-step tutorial to classify digits (MNIST), IRIS, and non-linearly separable data, gridsearch, cross-validation — This article is a part of “Data Science from Scratch — Can I to I Can”, A Lecture Notes Book Series. (click here to get your copy today!) Click here for the previous article/lecture on “A43: Support Vector Machines (SVMs) — Hands-on [complete project with code]” 💐Click here to FOLLOW…

Feature selection, chi-square, ANOVA, Grid-search, Random Search, feature scaling, ROC curve, Predicting Breast Cancer — This article is a part of “Data Science from Scratch — Can I to I Can”, A Lecture Notes Book Series. (click here to get your copy today!) Click here for the previous article/lecture on “A42: Support Vector Machines (SVMs) [Behind The Scene!]!!” 💐Click here to FOLLOW ME for new…

Maximum margin hyperplane, cross-entropy vs hinge loss, kernel trick, slack variables, norm, rbf kernel, origin of perceptron, regularizing hyper-parameter — This article is a part of “Data Science from Scratch — Can I to I Can”, A Lecture Notes Book Series. (click here to get your copy today!) Click here for the previous article/lecture on “A41: Bootstrapping and Confidence Interval — Behind the scene!!”