Author

Mr. Vivek Kumar

@mrvivekkumar7171

articles: 21
total claps: 416
top claps: 108
avg read: 12.3 min
active: 2026-02-20 → 2026-08-03

Wiki topics

ML · Machine Learning · 6 EDU · Education & Learning · 3 💻 · Programming · 2 📐 · Mathematics · 1 🔬 · Science · General · 1 🎬 · Film & Television · 1 RAG · RAG & Retrieval · 1 🏛️ · Politics · 1

Top tags

#curse-of-dimensionality ·2 #confusion-matrix ·1 #fpr ·1 #tpr ·1 #auc-roc-curve ·1 #auc-curve ·1 #expected-value ·1 #types-of-probabilities ·1 #bayes-theorem ·1 #probability ·1

MR Mr. Vivek Kumar

Normal Distribution, Standard Normal Distribution, Statistical Moments, Skewness and Kurtosis

Normal Distribution (Gaussian Distribution)

Feb 23, 2026 · 10 min read · 108 claps #skewness #statistical-moment #normal-distribution

Normal Distribution, Standard Normal Distribution, Statistical Moments, Skewness and Kurtosis

MR Mr. Vivek Kumar

Feature Transformations Explained

Unlocking Complex Transformations: The Power of Box-Cox and Yeo-Johnson Transformation

Aug 03, 2026 · 13 min read · 61 claps #box-cox-transformation #yeo-johnson #log-transformation

MR Mr. Vivek Kumar

Linear Regression & Its Types

Linear Regression and its types explained in detail.

Mar 09, 2026 · 21 min read · 54 claps #linear-regression #loss-function #error-function

TCH

MR Mr. Vivek Kumar

Decision Trees

Learn all about Decision Tree and its Visualization

Apr 18, 2026 · 14 min read · 50 claps #decision-tree #cart #gini-impurity

MR Mr. Vivek Kumar

Discretization/Binning Explained in Detail

Custom/Domain, Uniform/Equal Width, Quantile/Equal-Frequency, K-Means, Threshold/Binarization and Decision Tree Based Binning

Jul 28, 2026 · 10 min read · 38 claps #discretization #image-binarization #kmeans-binning

Discretization/Binning Explained in Detail

TCH

MR Mr. Vivek Kumar

Feature Encoding in Detail

Ordinal, One Hot Encoder (OHE), Count/Frequency, Binary, Target/Mean, Weight of Evidence (WoE) Encoder

Jul 27, 2026 · 16 min read · 31 claps #category-encoders #feature-encoding #one-hot-encoder

MR Mr. Vivek Kumar

Non-Normal Distributions and Transformations

Non-Gaussian Distribution (Non-Normal Distribution):

Feb 23, 2026 · 8 min read · 19 claps #qq-plot #non-gaussian #parato

Non-Normal Distributions and Transformations

MR Mr. Vivek Kumar

Mastering the ROC-AUC Curve: A Comprehensive Guide

Understanding the trade-offs between precision, recall, and classification thresholds.

Apr 06, 2026 · 5 min read · 9 claps #confusion-matrix #fpr #tpr

Mastering the ROC-AUC Curve: A Comprehensive Guide

SOC

MR Mr. Vivek Kumar

Curse of Dimensionality and Feature Selection

Feature Engineering: Feature Transformation, Feature Construction, Feature Extraction and Feature Selection

Mar 21, 2026 · 26 min read · 5 claps #feature-selection #curse-of-dimensionality

Curse of Dimensionality and Feature Selection

MR Mr. Vivek Kumar

MLE in Logistic Regression Explained

Maximum Likelihood Estimation in Logistic Regression

Apr 11, 2026 · 21 min read · 5 claps #logistic-regression #sigmoid #softmax

HUM AI

MR Mr. Vivek Kumar

Parameters, Differentiation and Optimization of Loss Function

Using Derivative to Optimize the Loss Function in Machine Learning and Deep Learning

Mar 10, 2026 · 19 min read · 5 claps #optimization #gradient-descent #derivatives

Parameters, Differentiation and Optimization of Loss Function

MR Mr. Vivek Kumar

Chi Square Distribution, Goodness of Fit Test & Test for Independence

Chi Square Distribution, Goodness of Fit Test and Test for Independence Explained

Mar 03, 2026 · 9 min read · 5 claps #test-for-independence #goodness-of-fit-tests #chi-square-test

Chi Square Distribution, Goodness of Fit Test & Test for Independence

MR Mr. Vivek Kumar

Measure of Central Tendency & Dispersion

Measures of Central Tendency

Feb 20, 2026 · 8 min read · 5 claps #measure-of-dispersion #measure-of-tendency #central-tendency

Measure of Central Tendency & Dispersion

HUM AI

MR Mr. Vivek Kumar

Tensors, Euclidean Distance, Cross Product, Dot Product and Mean Centering

Tensor in Machine Learning

Mar 06, 2026 · 20 min read · 4 claps #tensor #mean-centering #euclidean-distance

Tensors, Euclidean Distance, Cross Product, Dot Product and Mean Centering

AI SCI

MR Mr. Vivek Kumar

Probability

Probability Crash Course for Data Science

Apr 09, 2026 · 12 min read · 4 claps #expected-value #types-of-probabilities #bayes-theorem

MR Mr. Vivek Kumar

F — Distribution and ANOVA (Analysis of Variance)

F-Distribution, ANOVA, One way ANOVA test and Post-hoc Test

Mar 05, 2026 · 7 min read · 4 claps #anova #one-way-anova #f-distribution

F — Distribution and ANOVA (Analysis of Variance)

MR Mr. Vivek Kumar

Demystifying Random Variables: A Guide to PMF, PDF, and CDF

The Shape of Data: Unlocking the Secrets of PDFs and CDFs

Feb 21, 2026 · 8 min read · 3 claps #pdf #pmf #cdf

Demystifying Random Variables: A Guide to PMF, PDF, and CDF

HUM

MR Mr. Vivek Kumar

Point Estimate, Confidence Intervals

Point Estimate

Feb 27, 2026 · 6 min read · 3 claps #point-estimate #z-test #t-test

SOC

MR Mr. Vivek Kumar

Recommender Systems

Recommender Systems or Ranking Systems: How Platforms Know Exactly What You Want ?

Jun 18, 2026 · 5 min read · 2 claps #rankingsystem #recommender-systems #content-based-filtering

MDA AI

MR Mr. Vivek Kumar

T-SNE

t-Distributed Stochastic Neighbour Embedding (t-SNE)

Jul 22, 2026 · 9 min read · 1 claps #t-sne-explained #perplexity #t-distribution

MR Mr. Vivek Kumar

Gradient Boost

All about Gradient Boost in one article !

Apr 23, 2026 · 12 min read · 0 claps #gradient-boosting #catboost #lightgbm