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GATE DA 2027 · Machine Learning
The full Machine Learning section of the GATE DA syllabus, in 20 visual lectures built on real data, with GATE-style questions in every video.

ML 01What is Machine Learning?10:12 · real data · supervised vs unsupervised · GATE-style MSQ
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ML 02Simple Linear Regression10:10 · least squares · formulas · R² · NAT + MSQ
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ML 03Multiple Linear Regression9:15
Watch ▸ML 04Gradient Descentcoming soon
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ML 05Bias-Variance Trade-off8:06
Watch ▸ML 06Ridge Regressioncoming soon
Coming soonML 07Cross-Validation (k-fold, LOO)coming soon
Coming soonML 08Logistic Regressioncoming soon
Coming soonML 09k-Nearest Neighbourcoming soon
Coming soonML 10Naive Bayescoming soon
Coming soonML 11Linear Discriminant Analysiscoming soon
Coming soonML 12Support Vector Machinecoming soon
Coming soonML 13Decision Treescoming soon
Coming soonML 14Perceptron to Multi-layer Perceptroncoming soon
Coming soonML 15Feed-forward Neural Networkcoming soon
Coming soonML 16k-Means & k-Medoidscoming soon
Coming soonML 17Hierarchical Clusteringcoming soon
Coming soonML 18Principal Component Analysiscoming soon
Coming soonML 19ML Revision: all formulascoming soon
Coming soonML 20ML PYQ Marathoncoming soon
Coming soon