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DevCourseWeb com Applied Math for Data Science

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[ DevCourseWeb.com ] Applied Math for Data Science

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Total Size

1.6 GB

Total Files

75

Last Seen

2025-07-18 00:35

Hash

F12804363BADBD5242DE04F4F27D01C66B5234B2

/

Get Bonus Downloads Here.url

0.2 KB

/~Get Your Files Here !/

Bonus Resources.txt

0.4 KB

/.../Module 0 Course Introduction/

001. Course Introduction en.srt

1.3 KB

001. Course Introduction .mp4

14.7 MB

/.../Module 1 Calculus and Functions/

001. Introduction to Module 1 en.srt

1.7 KB

001. Introduction to Module 1.mp4

5.9 MB

002. Mathematical Functions en.srt

25.7 KB

002. Mathematical Functions.jpeg

163.5 KB

002. Mathematical Functions.mp4

106.8 MB

003. Exponential and Logarithmic Functions en.srt

11.3 KB

003. Exponential and Logarithmic Functions.mp4

28.6 MB

004. The Limit and the Derivative en.srt

29.8 KB

004. The Limit and the Derivative.mp4

98.6 MB

005. Integrals en.srt

6.0 KB

005. Integrals.mp4

15.5 MB

/Module 2 Probability/

001. Introduction to Module 2 en.srt

2.3 KB

001. Introduction to Module 2.mp4

6.4 MB

002. The Monty Hall Problem en.srt

7.5 KB

002. The Monty Hall Problem.mp4

22.0 MB

003. Probability Basics en.srt

25.5 KB

003. Probability Basics.mp4

110.0 MB

004. Bayes Theorem en.srt

12.0 KB

004. Bayes Theorem.mp4

42.7 MB

005. Binomial and Beta Distribution en.srt

14.1 KB

005. Binomial and Beta Distribution.mp4

43.8 MB

/.../Module 3 Statistics and Hypothesis Testing/

001. Introduction to Module 3 en.srt

3.1 KB

001. Introduction to Module 3.mp4

11.1 MB

002. Descriptive Statistics en.srt

24.3 KB

002. Descriptive Statistics.mp4

93.3 MB

003. The Normal Distribution en.srt

14.9 KB

003. The Normal Distribution.mp4

43.4 MB

004. The Central Limit Theorem en.srt

5.6 KB

004. The Central Limit Theorem.mp4

17.9 MB

005. Z Scores and Confidence Intervals en.srt

8.4 KB

005. Z Scores and Confidence Intervals.mp4

32.0 MB

006. Hypothesis Testing en.srt

14.5 KB

006. Hypothesis Testing.mp4

47.5 MB

/.../Module 4 Linear Algebra/

001. Introduction to Module 4 en.srt

2.7 KB

001. Introduction to Module 4.mp4

10.1 MB

002. Vectors and Vector Operations en.srt

23.1 KB

002. Vectors and Vector Operations.mp4

61.6 MB

003. Transformations and Matrices en.srt

22.1 KB

003. Transformations and Matrices.mp4

68.6 MB

004. Transformations, Matrices, and Matrix Multiplication en.srt

6.5 KB

004. Transformations, Matrices, and Matrix Multiplication.mp4

19.3 MB

005. Systems of Linear Equations and Inverse Matrices en.srt

10.2 KB

005. Systems of Linear Equations and Inverse Matrices.mp4

28.2 MB

006. Matrix Decomposition en.srt

8.6 KB

006. Matrix Decomposition.mp4

28.9 MB

/.../Module 5 Linear Regression/

001. Introduction to Module 5 en.srt

2.4 KB

001. Introduction to Module 5.mp4

9.1 MB

002. Simple Linear Regression en.srt

21.4 KB

002. Simple Linear Regression.mp4

64.6 MB

003. Multiple Linear Regression en.srt

5.6 KB

003. Multiple Linear Regression.mp4

26.6 MB

004. Fitting a Linear Regression en.srt

29.6 KB

004. Fitting a Linear Regression.mp4

105.1 MB

005. Overfitting, Variance, and RidgeLasso Regression en.srt

15.9 KB

005. Overfitting, Variance, and RidgeLasso Regression.mp4

54.6 MB

006. TrainTest Splits en.srt

9.5 KB

006. TrainTest Splits.mp4

32.6 MB

007. Performance Metrics en.srt

18.2 KB

007. Performance Metrics.mp4

55.9 MB

/.../Module 6 Logistic Regression and Classification/

001. Module 6 Introduction en.srt

1.0 KB

001. Module 6 Introduction.mp4

3.8 MB

002. Logistic Regression Basics en.srt

13.6 KB

002. Logistic Regression Basics.mp4

46.6 MB

003. Fitting a Logistic Regression en.srt

20.5 KB

003. Fitting a Logistic Regression.mp4

72.6 MB

004. The Log-Odds en.srt

7.4 KB

004. The Log-Odds.mp4

22.1 MB

005. The R2 and P-Value en.srt

9.7 KB

005. The R2 and P-Value.mp4

29.2 MB

006. ROCAUC and Confusion Matrices en.srt

20.9 KB

006. ROCAUC and Confusion Matrices.mp4

74.3 MB

 

Total files 75


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