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Piyush Wairale

  • Taylor Series and Maxima-Minima for GATE DA: Expansions and Optimization Worked

    Taylor Series & Maxima-Minima for GATE DA: Expansions and Optimization Worked

    Categories: GATE Data Science—
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  • Normal Forms for GATE DA: 1NF to BCNF with Worked Decompositions

    Normal Forms for GATE DA: 1NF to BCNF with Worked Decompositions

    Categories: GATE Data Science—
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  • SQL and Relational Algebra for GATE DA: Queries Written and Evaluated Step by Step

    SQL & Relational Algebra for GATE DA: Queries Written and Evaluated Step by Step

    Categories: GATE Data Science—
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  • BFS and DFS for GATE DA: Graph Traversals Worked Step by Step

    BFS & DFS for GATE DA: Graph Traversals Worked Step by Step

    Categories: GATE Data Science—
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  • Sorting Algorithms in Python for GATE DA: Bubble, Merge and Quick Sort Traced Step by Step

    Sorting Algorithms in Python for GATE DA: Bubble, Merge & Quick Sort Traced Step by Step

    Categories: GATE Data Science—
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  • Neural Network Parameter Counting for GATE DA: MLPs, Activations and Worked Examples

    Neural Network Parameter Counting for GATE DA: MLPs, Activations & Worked Examples

    Categories: GATE Data Science—
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  • K-Means Clustering and PCA for GATE DA: Worked Iterations and Variance Explained

    K-Means Clustering & PCA for GATE DA: Worked Iterations and Variance Explained

    Categories: GATE Data Science—
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  • Bias-Variance Tradeoff and Cross-Validation for GATE DA: Formulas, Diagrams and Solved Problems

    Bias-Variance Tradeoff & Cross-Validation for GATE DA: Formulas, Diagrams & Solved Problems

    Categories: GATE Data Science—
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  • Decision Trees and Naive Bayes for GATE DA: Entropy, Gini and Worked Classifications

    Decision Trees & Naive Bayes for GATE DA: Entropy, Gini & Worked Classifications

    Categories: GATE Data Science—
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