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Torrent Details
Applied Math for Data Science
Category:
Other
Size:
1.45 GB
Seeders:
3
Leechers:
9
Downloads:
61
Uploaded:
Sep 30, 2023
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Magnet
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Applied Math for Data Science
Module 2 Probability
003. Probability Basics.mp4
- 104.9 MB
005. Binomial and Beta Distribution.mp4
- 41.76 MB
004. Bayes Theorem.mp4
- 40.68 MB
002. The Monty Hall Problem.mp4
- 21.01 MB
001. Introduction to Module 2.mp4
- 6.12 MB
003. Probability Basics en.srt
- 24.89 KB
005. Binomial and Beta Distribution en.srt
- 13.74 KB
004. Bayes Theorem en.srt
- 11.73 KB
002. The Monty Hall Problem en.srt
- 7.31 KB
001. Introduction to Module 2 en.srt
- 2.27 KB
Module 1 Calculus and Functions
002. Mathematical Functions.mp4
- 101.82 MB
004. The Limit and the Derivative.mp4
- 94.01 MB
003. Exponential and Logarithmic Functions.mp4
- 27.29 MB
005. Integrals.mp4
- 14.76 MB
001. Introduction to Module 1.mp4
- 5.67 MB
004. The Limit and the Derivative en.srt
- 29.08 KB
002. Mathematical Functions en.srt
- 25.1 KB
003. Exponential and Logarithmic Functions en.srt
- 11.02 KB
005. Integrals en.srt
- 5.86 KB
001. Introduction to Module 1 en.srt
- 1.64 KB
Module 5 Linear Regression
004. Fitting a Linear Regression.mp4
- 100.25 MB
002. Simple Linear Regression.mp4
- 61.61 MB
007. Performance Metrics.mp4
- 53.35 MB
005. Overfitting, Variance, and RidgeLasso Regression.mp4
- 52.04 MB
006. TrainTest Splits.mp4
- 31.06 MB
003. Multiple Linear Regression.mp4
- 25.41 MB
001. Introduction to Module 5.mp4
- 8.68 MB
004. Fitting a Linear Regression en.srt
- 28.87 KB
002. Simple Linear Regression en.srt
- 20.91 KB
007. Performance Metrics en.srt
- 17.81 KB
005. Overfitting, Variance, and RidgeLasso Regression en.srt
- 15.57 KB
006. TrainTest Splits en.srt
- 9.31 KB
003. Multiple Linear Regression en.srt
- 5.47 KB
001. Introduction to Module 5 en.srt
- 2.33 KB
Module 3 Statistics and Hypothesis Testing
002. Descriptive Statistics.mp4
- 89.02 MB
006. Hypothesis Testing.mp4
- 45.27 MB
003. The Normal Distribution.mp4
- 41.38 MB
005. Z Scores and Confidence Intervals.mp4
- 30.52 MB
004. The Central Limit Theorem.mp4
- 17.09 MB
001. Introduction to Module 3.mp4
- 10.55 MB
002. Descriptive Statistics en.srt
- 23.76 KB
003. The Normal Distribution en.srt
- 14.53 KB
006. Hypothesis Testing en.srt
- 14.18 KB
005. Z Scores and Confidence Intervals en.srt
- 8.25 KB
004. The Central Limit Theorem en.srt
- 5.46 KB
001. Introduction to Module 3 en.srt
- 3 KB
Module 6 Logistic Regression and Classification
006. ROCAUC and Confusion Matrices.mp4
- 70.83 MB
003. Fitting a Logistic Regression.mp4
- 69.25 MB
002. Logistic Regression Basics.mp4
- 44.45 MB
005. The R2 and P-Value.mp4
- 27.89 MB
004. The Log-Odds.mp4
- 21.06 MB
001. Module 6 Introduction.mp4
- 3.67 MB
006. ROCAUC and Confusion Matrices en.srt
- 20.43 KB
003. Fitting a Logistic Regression en.srt
- 19.98 KB
002. Logistic Regression Basics en.srt
- 13.31 KB
005. The R2 and P-Value en.srt
- 9.43 KB
004. The Log-Odds en.srt
- 7.22 KB
001. Module 6 Introduction en.srt
- 971 B
Module 4 Linear Algebra
003. Transformations and Matrices.mp4
- 65.4 MB
002. Vectors and Vector Operations.mp4
- 58.77 MB
006. Matrix Decomposition.mp4
- 27.57 MB
005. Systems of Linear Equations and Inverse Matrices.mp4
- 26.85 MB
004. Transformations, Matrices, and Matrix Multiplication.mp4
- 18.38 MB
001. Introduction to Module 4.mp4
- 9.67 MB
002. Vectors and Vector Operations en.srt
- 22.54 KB
003. Transformations and Matrices en.srt
- 21.55 KB
005. Systems of Linear Equations and Inverse Matrices en.srt
- 9.92 KB
006. Matrix Decomposition en.srt
- 8.36 KB
004. Transformations, Matrices, and Matrix Multiplication en.srt
- 6.33 KB
001. Introduction to Module 4 en.srt
- 2.6 KB
Module 0 Course Introduction
001. Course Introduction .mp4
- 13.98 MB
001. Course Introduction en.srt
- 1.25 KB
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InfoHash:
F52F97E7A35442933088006326442F9078BA7D43
Last updated:
Sep 30, 2023
File count:
72 B
File Category:
1
Tags:
applied, math, data, science
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