Applied Math for Data Science
Language: English | Size:1.45 GB
Genre:eLearning
Files Included :
001 Course Introduction.mp4 (13.98 MB)
MP4
001 Introduction to Module 1.mp4 (5.67 MB)
MP4
002 Mathematical Functions.mp4 (101.82 MB)
MP4
003 Exponential and Logarithmic Functions.mp4 (27.29 MB)
MP4
004 The Limit and the Derivative.mp4 (94.01 MB)
MP4
005 Integrals.mp4 (14.76 MB)
MP4
001 Introduction to Module 2.mp4 (6.12 MB)
MP4
002 The Monty Hall Problem.mp4 (21.01 MB)
MP4
003 Probability Basics.mp4 (104.9 MB)
MP4
004 Bayes Theorem.mp4 (40.68 MB)
MP4
005 Binomial and Beta Distribution.mp4 (41.76 MB)
MP4
001 Introduction to Module 3.mp4 (10.55 MB)
MP4
002 Descriptive Statistics.mp4 (89.02 MB)
MP4
003 The Normal Distribution.mp4 (41.38 MB)
MP4
004 The Central Limit Theorem.mp4 (17.09 MB)
MP4
005 Z Scores and Confidence Intervals.mp4 (30.52 MB)
MP4
006 Hypothesis Testing.mp4 (45.27 MB)
MP4
001 Introduction to Module 4.mp4 (9.67 MB)
MP4
002 Vectors and Vector Operations.mp4 (58.77 MB)
MP4
003 Transformations and Matrices.mp4 (65.4 MB)
MP4
004 Transformations, Matrices, and Matrix Multiplication.mp4 (18.38 MB)
MP4
005 Systems of Linear Equations and Inverse Matrices.mp4 (26.85 MB)
MP4
006 Matrix Decomposition.mp4 (27.57 MB)
MP4
001 Introduction to Module 5.mp4 (8.68 MB)
MP4
002 Simple Linear Regression.mp4 (61.61 MB)
MP4
003 Multiple Linear Regression.mp4 (25.41 MB)
MP4
004 Fitting a Linear Regression.mp4 (100.25 MB)
MP4
005 Overfitting, Variance, and RidgeLasso Regression.mp4 (52.04 MB)
MP4
006 TrainTest Splits.mp4 (31.06 MB)
MP4
007 Performance Metrics.mp4 (53.35 MB)
MP4
001 Module 6 Introduction.mp4 (3.67 MB)
MP4
002 Logistic Regression Basics.mp4 (44.45 MB)
MP4
003 Fitting a Logistic Regression.mp4 (69.25 MB)
MP4
004 The Log-Odds.mp4 (21.06 MB)
MP4
005 The R2 and P-Value.mp4 (27.89 MB)
MP4
006 ROCAUC and Confusion Matrices.mp4 (70.83 MB)
MP4
MP4
001 Introduction to Module 1.mp4 (5.67 MB)
MP4
002 Mathematical Functions.mp4 (101.82 MB)
MP4
003 Exponential and Logarithmic Functions.mp4 (27.29 MB)
MP4
004 The Limit and the Derivative.mp4 (94.01 MB)
MP4
005 Integrals.mp4 (14.76 MB)
MP4
001 Introduction to Module 2.mp4 (6.12 MB)
MP4
002 The Monty Hall Problem.mp4 (21.01 MB)
MP4
003 Probability Basics.mp4 (104.9 MB)
MP4
004 Bayes Theorem.mp4 (40.68 MB)
MP4
005 Binomial and Beta Distribution.mp4 (41.76 MB)
MP4
001 Introduction to Module 3.mp4 (10.55 MB)
MP4
002 Descriptive Statistics.mp4 (89.02 MB)
MP4
003 The Normal Distribution.mp4 (41.38 MB)
MP4
004 The Central Limit Theorem.mp4 (17.09 MB)
MP4
005 Z Scores and Confidence Intervals.mp4 (30.52 MB)
MP4
006 Hypothesis Testing.mp4 (45.27 MB)
MP4
001 Introduction to Module 4.mp4 (9.67 MB)
MP4
002 Vectors and Vector Operations.mp4 (58.77 MB)
MP4
003 Transformations and Matrices.mp4 (65.4 MB)
MP4
004 Transformations, Matrices, and Matrix Multiplication.mp4 (18.38 MB)
MP4
005 Systems of Linear Equations and Inverse Matrices.mp4 (26.85 MB)
MP4
006 Matrix Decomposition.mp4 (27.57 MB)
MP4
001 Introduction to Module 5.mp4 (8.68 MB)
MP4
002 Simple Linear Regression.mp4 (61.61 MB)
MP4
003 Multiple Linear Regression.mp4 (25.41 MB)
MP4
004 Fitting a Linear Regression.mp4 (100.25 MB)
MP4
005 Overfitting, Variance, and RidgeLasso Regression.mp4 (52.04 MB)
MP4
006 TrainTest Splits.mp4 (31.06 MB)
MP4
007 Performance Metrics.mp4 (53.35 MB)
MP4
001 Module 6 Introduction.mp4 (3.67 MB)
MP4
002 Logistic Regression Basics.mp4 (44.45 MB)
MP4
003 Fitting a Logistic Regression.mp4 (69.25 MB)
MP4
004 The Log-Odds.mp4 (21.06 MB)
MP4
005 The R2 and P-Value.mp4 (27.89 MB)
MP4
006 ROCAUC and Confusion Matrices.mp4 (70.83 MB)
MP4
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