GateXAIML

@UCYcfBli9ASWm4BrxXrRE5jw - 290 subscribers

This channel provides free, high-quality learning resources for GATE (CSE) and GATE (DA — Data Science & Artificial Intelligence) aspirants. Every lecture, textbook, and problem set is curated with care and academic depth, aiming to build a strong conceptual foundation and enhance problem-solving ability. Our mission is to make Computer Science and Data Science education accessible, structured, and research-oriented, helping learners master concepts from first principles. Here, you’ll find in-depth video lectures, thoughtfully prepared digital textbooks, and challenging practice problems, all designed to help you excel in GATE CSE and GATE DA. Subscribe to explore a complete, concept-driven learning ecosystem focused on clarity, depth, and precision — the qualities that define true understanding.

Home Videos Live Playlists

Problem Solving on Principal Component Analysis (PCA) | Machine Learning From Zero | L.45

Problem Solving on Principal Component Analysis (PCA) | Machine Learning From Zero | L.45 GateXAIML

116 views - 2 weeks ago

Principal Component Analysis (PCA) Explained from scratch | Machine Learning from Zero | L.44

Principal Component Analysis (PCA) Explained from scratch | Machine Learning from Zero | L.44 GateXAIML

145 views - 2 weeks ago

Problem Solving Hierarchical Clustering | Agglomerative & Divisive Machine Learning From Zero |L.43

Problem Solving Hierarchical Clustering | Agglomerative & Divisive Machine Learning From Zero |L.43 GateXAIML

66 views - 3 weeks ago

Hierarchical Clustering Explained: Agglomerative & Divisive | Machine Learning From Zero | L.42

Hierarchical Clustering Explained: Agglomerative & Divisive | Machine Learning From Zero | L.42 GateXAIML

70 views - 3 weeks ago

K-Means Clustering Explained: Partition Based Clustering | Machine Learning from Zero | L.39

K-Means Clustering Explained: Partition Based Clustering | Machine Learning from Zero | L.39 GateXAIML

51 views - 3 weeks ago

Problem Solving on K-Means & K-Medoids | Practice Questions | Machine Learning From Zero | L.41

Problem Solving on K-Means & K-Medoids | Practice Questions | Machine Learning From Zero | L.41 GateXAIML

90 views - 3 weeks ago

K-Medoids Clustering Explained: Robust Partition Based Algorithm | Machine Learning from Zero | L.40

K-Medoids Clustering Explained: Robust Partition Based Algorithm | Machine Learning from Zero | L.40 GateXAIML

60 views - 3 weeks ago

IIT Guwahati Machine Learning – GATE DA 2026 | Pattern, Expected Questions, Concepts & GATE PYQs

IIT Guwahati Machine Learning – GATE DA 2026 | Pattern, Expected Questions, Concepts & GATE PYQs GateXAIML

278 views - 3 weeks ago

GATE DA 2026 IIT Guwahati Calculus & Optimization | Pattern, Questions, Concepts & GATE PYQs

GATE DA 2026 IIT Guwahati Calculus & Optimization | Pattern, Questions, Concepts & GATE PYQs GateXAIML

189 views - 1 month ago

GATE DA 2026 Linear Algebra: Pattern, PYQs & What IIT Guwahati Expects

GATE DA 2026 Linear Algebra: Pattern, PYQs & What IIT Guwahati Expects GateXAIML

317 views - 1 month ago

GATE DA 2026 Probability & Statistics Pattern | What IIT Guwahati Expects

GATE DA 2026 Probability & Statistics Pattern | What IIT Guwahati Expects GateXAIML

409 views - 1 month ago

GATE DA 2026 | What IIT Guwahati Actually Tests | The Mistake 90% Aspirants Make

GATE DA 2026 | What IIT Guwahati Actually Tests | The Mistake 90% Aspirants Make GateXAIML

243 views - 1 month ago

IIT Guwahati GATE CSE 2026: Engineering Mathematics Pattern & Expected Questions

IIT Guwahati GATE CSE 2026: Engineering Mathematics Pattern & Expected Questions GateXAIML

256 views - 1 month ago

IIT Guwahati Compiler Design – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Problems

IIT Guwahati Compiler Design – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Problems GateXAIML

102 views - 1 month ago

Unsupervised Learning Overview & Roadmap | Machine Learning from Zero | L.38

Unsupervised Learning Overview & Roadmap | Machine Learning from Zero | L.38 GateXAIML

90 views - 1 month ago

IIT Guwahati Algorithms – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample Problems

IIT Guwahati Algorithms – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample Problems GateXAIML

95 views - 1 month ago

IIT Guwahati C & Data Structures – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample

IIT Guwahati C & Data Structures – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample GateXAIML

212 views - 1 month ago

IIT Guwahati Theory of Computation – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample

IIT Guwahati Theory of Computation – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample GateXAIML

188 views - 1 month ago

IIT Guwahati Computer Networks – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample

IIT Guwahati Computer Networks – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample GateXAIML

119 views - 1 month ago

IIT Guwahati Database Management Systems –GATE CSE 2026 | Pattern, Expected Questions, Concepts

IIT Guwahati Database Management Systems –GATE CSE 2026 | Pattern, Expected Questions, Concepts GateXAIML

170 views - 1 month ago

IIT Guwahati Operating Systems – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample

IIT Guwahati Operating Systems – GATE CSE 2026 | Pattern, Expected Questions, Concepts & Sample GateXAIML

296 views - 1 month ago

IIT Guwahati GATE CSE 2026 Computer Organization & Architecture – | Pattern, Questions, Concepts

IIT Guwahati GATE CSE 2026 Computer Organization & Architecture – | Pattern, Questions, Concepts GateXAIML

81 views - 1 month ago

IIT Guwahati GATE CSE 2026 Digital Logic Design | Pattern, Expected Questions, Concepts & Sample

IIT Guwahati GATE CSE 2026 Digital Logic Design | Pattern, Expected Questions, Concepts & Sample GateXAIML

119 views - 1 month ago

GATE CSE 2026 | Pattern | Expected Questions, Concepts & Sample Problems | All Subjects

GATE CSE 2026 | Pattern | Expected Questions, Concepts & Sample Problems | All Subjects GateXAIML

108 views - 1 month ago

Problem Solving – ReLU & Neural Networks Basics | Machine Learning from Zero | L.37

Problem Solving – ReLU & Neural Networks Basics | Machine Learning from Zero | L.37 GateXAIML

120 views - 1 month ago

Problem Solving – Support Vector Machines & Kernel Trick| Machine Learning from Zero | L.35

Problem Solving – Support Vector Machines & Kernel Trick| Machine Learning from Zero | L.35 GateXAIML

65 views - 1 month ago

Problem Solving – Decision Tree Gini & Entropy | Machine Learning from Zero | L.31

Problem Solving – Decision Tree Gini & Entropy | Machine Learning from Zero | L.31 GateXAIML

55 views - 1 month ago

Problem Solving – Cross Validation & ROC AUC | Machine Learning from Zero | L.29

Problem Solving – Cross Validation & ROC AUC | Machine Learning from Zero | L.29 GateXAIML

30 views - 1 month ago

Problem Solving – Bayesian Linear Discriminant Analysis | Machine Learning from Zero | L.26

Problem Solving – Bayesian Linear Discriminant Analysis | Machine Learning from Zero | L.26 GateXAIML

28 views - 1 month ago

Problem Solving – Fisher Linear Discriminant Analysis (LDA) | Machine Learning from Zero | L.24

Problem Solving – Fisher Linear Discriminant Analysis (LDA) | Machine Learning from Zero | L.24 GateXAIML

30 views - 1 month ago

Problem Solving – k-NN Algorithm | Machine Learning from Zero | L.16

Problem Solving – k-NN Algorithm | Machine Learning from Zero | L.16 GateXAIML

44 views - 1 month ago

Problem Solving – Logistic Regression | Machine Learning from Zero | L.14

Problem Solving – Logistic Regression | Machine Learning from Zero | L.14 GateXAIML

45 views - 1 month ago

Problem Solving – Ridge Regression (L2) | Machine Learning from Zero | L.12

Problem Solving – Ridge Regression (L2) | Machine Learning from Zero | L.12 GateXAIML

29 views - 2 months ago

Problem Solving – Multiple Linear Regression | Machine Learning from Zero | L.10

Problem Solving – Multiple Linear Regression | Machine Learning from Zero | L.10 GateXAIML

30 views - 2 months ago

Problem Solving – Linear Regression Standard Error | Machine Learning from Zero | L.07

Problem Solving – Linear Regression Standard Error | Machine Learning from Zero | L.07 GateXAIML

60 views - 2 months ago

Problem Solving – Confusion Matrix & Metrics | Machine Learning from Zero | L.04

Problem Solving – Confusion Matrix & Metrics | Machine Learning from Zero | L.04 GateXAIML

72 views - 2 months ago

Overview of Machine Learning: Types, Workflow & Data Explained | Machine Learning From Zero | L.01

Overview of Machine Learning: Types, Workflow & Data Explained | Machine Learning From Zero | L.01 GateXAIML

174 views - 2 months ago

Issues in ML: Bias, Underfitting & Overfitting Explained | Machine Learning From Zero | L.02

Issues in ML: Bias, Underfitting & Overfitting Explained | Machine Learning From Zero | L.02 GateXAIML

61 views - 2 months ago

Confusion Matrix Explained: Accuracy, Precision, Recall & F1 Score | Machine Learning | L.03

Confusion Matrix Explained: Accuracy, Precision, Recall & F1 Score | Machine Learning | L.03 GateXAIML

54 views - 2 months ago

Problem Solving – Naive Bayes Classifiers (GNB, MNB, BNB) | Machine Learning from Zero | L.22

Problem Solving – Naive Bayes Classifiers (GNB, MNB, BNB) | Machine Learning from Zero | L.22 GateXAIML

42 views - 2 months ago

Linear Regression Standard Error Explained with Examples | Machine Learning | L.06

Linear Regression Standard Error Explained with Examples | Machine Learning | L.06 GateXAIML

38 views - 2 months ago

Linear Regression Explained: OLS, RSS, R² & Error Metrics | Machine Learning From Zero | L.05

Linear Regression Explained: OLS, RSS, R² & Error Metrics | Machine Learning From Zero | L.05 GateXAIML

72 views - 2 months ago

Neural Networks Explained: Neuron, Feedforward & Backpropagation Basics | Machine Learning | L.36

Neural Networks Explained: Neuron, Feedforward & Backpropagation Basics | Machine Learning | L.36 GateXAIML

72 views - 2 months ago

Evaluation & Cross-Validation Explained: Hold-Out, K-Fold & LOOCV | Machine Learning | L.27

Evaluation & Cross-Validation Explained: Hold-Out, K-Fold & LOOCV | Machine Learning | L.27 GateXAIML

33 views - 2 months ago

Linear Discriminant Analysis (Bayesian Overview) Explained | Machine Learning From Zero | L.25

Linear Discriminant Analysis (Bayesian Overview) Explained | Machine Learning From Zero | L.25 GateXAIML

28 views - 2 months ago

Bernoulli Naive Bayes Explained with Example | Machine Learning From Zero | L.21

Bernoulli Naive Bayes Explained with Example | Machine Learning From Zero | L.21 GateXAIML

39 views - 2 months ago

Multinomial Naive Bayes Explained: Laplace Smoothing & Example | Machine Learning From Zero | L.20

Multinomial Naive Bayes Explained: Laplace Smoothing & Example | Machine Learning From Zero | L.20 GateXAIML

30 views - 2 months ago

Gaussian Naive Bayes Explained with Example | Machine Learning From Zero | L.19

Gaussian Naive Bayes Explained with Example | Machine Learning From Zero | L.19 GateXAIML

26 views - 2 months ago

Kernel Trick Explained: Types of Kernel Functions with Intuition | Machine Learning From Zero | L.34

Kernel Trick Explained: Types of Kernel Functions with Intuition | Machine Learning From Zero | L.34 GateXAIML

50 views - 2 months ago

Multiple Regression Explained: R² & Adjusted R² (Goodness of Fit)| Machine Learning From Zero | L.09

Multiple Regression Explained: R² & Adjusted R² (Goodness of Fit)| Machine Learning From Zero | L.09 GateXAIML

25 views - 2 months ago

ROC Curve & AUC Explained: Bias–Variance Trade-off with Examples | Machine Learning From Zero | L.28

ROC Curve & AUC Explained: Bias–Variance Trade-off with Examples | Machine Learning From Zero | L.28 GateXAIML

20 views - 2 months ago

MAP Decision Rule (Maximum A Posteriori) Explained with Example | Machine Learning From Zero | L.18

MAP Decision Rule (Maximum A Posteriori) Explained with Example | Machine Learning From Zero | L.18 GateXAIML

32 views - 2 months ago

SVM Soft Margin Explained: Geometry, Optimization & Example | Machine Learning From Zero | L.33

SVM Soft Margin Explained: Geometry, Optimization & Example | Machine Learning From Zero | L.33 GateXAIML

43 views - 2 months ago

Primal SVM Optimization: From Constraints to Separating Hyperplanes L32

Primal SVM Optimization: From Constraints to Separating Hyperplanes L32 GateXAIML

67 views - 2 months ago

Ridge Regression Explained: L2 Regularization & OLS Issues | Machine Learning From Zero | L.11

Ridge Regression Explained: L2 Regularization & OLS Issues | Machine Learning From Zero | L.11 GateXAIML

46 views - 2 months ago

Multiple Regression Explained: OLS, RSS & Step-by-Step Examples | Machine Learning From Zero | L.08

Multiple Regression Explained: OLS, RSS & Step-by-Step Examples | Machine Learning From Zero | L.08 GateXAIML

55 views - 2 months ago

Naive Bayes Explained in 3 Simple Steps with Example | Machine Learning From Zero | L.17

Naive Bayes Explained in 3 Simple Steps with Example | Machine Learning From Zero | L.17 GateXAIML

64 views - 2 months ago

Logistic Regression Explained: Odds, Logit & Classification | Machine Learning From Zero | L.13

Logistic Regression Explained: Odds, Logit & Classification | Machine Learning From Zero | L.13 GateXAIML

47 views - 2 months ago

Decision Tree Classifier Explained: Gini, Entropy & Example | Machine Learning From Zero | L.30

Decision Tree Classifier Explained: Gini, Entropy & Example | Machine Learning From Zero | L.30 GateXAIML

63 views - 2 months ago

k-Nearest Neighbors (k-NN): Concepts, Intuition & Examples | Machine Learning From Zero | L.15

k-Nearest Neighbors (k-NN): Concepts, Intuition & Examples | Machine Learning From Zero | L.15 GateXAIML

74 views - 2 months ago