Applied Math for Data Science

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Files Included :

001 Course Introduction.mp4 (13.98 MB)
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001 Introduction to Module 1.mp4 (5.67 MB)
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002 Mathematical Functions.mp4 (101.82 MB)
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003 Exponential and Logarithmic Functions.mp4 (27.29 MB)
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004 The Limit and the Derivative.mp4 (94.01 MB)
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005 Integrals.mp4 (14.76 MB)
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001 Introduction to Module 2.mp4 (6.12 MB)
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002 The Monty Hall Problem.mp4 (21.01 MB)
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003 Probability Basics.mp4 (104.9 MB)
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004 Bayes Theorem.mp4 (40.68 MB)
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005 Binomial and Beta Distribution.mp4 (41.76 MB)
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001 Introduction to Module 3.mp4 (10.55 MB)
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002 Descriptive Statistics.mp4 (89.02 MB)
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003 The Normal Distribution.mp4 (41.38 MB)
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004 The Central Limit Theorem.mp4 (17.09 MB)
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005 Z Scores and Confidence Intervals.mp4 (30.52 MB)
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006 Hypothesis Testing.mp4 (45.27 MB)
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001 Introduction to Module 4.mp4 (9.67 MB)
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002 Vectors and Vector Operations.mp4 (58.77 MB)
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003 Transformations and Matrices.mp4 (65.4 MB)
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004 Transformations, Matrices, and Matrix Multiplication.mp4 (18.38 MB)
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005 Systems of Linear Equations and Inverse Matrices.mp4 (26.85 MB)
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006 Matrix Decomposition.mp4 (27.57 MB)
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001 Introduction to Module 5.mp4 (8.68 MB)
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002 Simple Linear Regression.mp4 (61.61 MB)
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003 Multiple Linear Regression.mp4 (25.41 MB)
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004 Fitting a Linear Regression.mp4 (100.25 MB)
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005 Overfitting, Variance, and RidgeLasso Regression.mp4 (52.04 MB)
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006 TrainTest Splits.mp4 (31.06 MB)
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007 Performance Metrics.mp4 (53.35 MB)
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001 Module 6 Introduction.mp4 (3.67 MB)
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002 Logistic Regression Basics.mp4 (44.45 MB)
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003 Fitting a Logistic Regression.mp4 (69.25 MB)
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004 The Log-Odds.mp4 (21.06 MB)
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005 The R2 and P-Value.mp4 (27.89 MB)
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006 ROCAUC and Confusion Matrices.mp4 (70.83 MB)
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