Applied Math for Data Science

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Applied Math for Data Science

Torrent Contents Size: 1.4 GB

Applied Math for Data Science
▼ show more 60 files
001. Course Introduction .mp4
MP4
14 MB
001. Course Introduction en.srt
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1.2 KB
001. Introduction to Module 1 en.srt
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1.6 KB
001. Introduction to Module 1.mp4
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5.7 MB
001. Introduction to Module 2 en.srt
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2.3 KB
001. Introduction to Module 2.mp4
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6.1 MB
001. Introduction to Module 3 en.srt
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3 KB
001. Introduction to Module 3.mp4
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10.5 MB
001. Introduction to Module 4 en.srt
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2.6 KB
001. Introduction to Module 4.mp4
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9.7 MB
001. Introduction to Module 5 en.srt
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2.3 KB
001. Introduction to Module 5.mp4
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8.7 MB
001. Module 6 Introduction en.srt
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921.6 B
001. Module 6 Introduction.mp4
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3.7 MB
002. Descriptive Statistics en.srt
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23.8 KB
002. Descriptive Statistics.mp4
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89 MB
002. Logistic Regression Basics en.srt
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13.3 KB
002. Logistic Regression Basics.mp4
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44.4 MB
002. Mathematical Functions en.srt
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25.1 KB
002. Mathematical Functions.jpeg
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159.7 KB
002. Mathematical Functions.mp4
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101.8 MB
002. Simple Linear Regression en.srt
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20.9 KB
002. Simple Linear Regression.mp4
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61.6 MB
002. The Monty Hall Problem en.srt
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7.3 KB
002. The Monty Hall Problem.mp4
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21 MB
002. Vectors and Vector Operations en.srt
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22.5 KB
002. Vectors and Vector Operations.mp4
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58.8 MB
003. Exponential and Logarithmic Functions en.srt
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11 KB
003. Exponential and Logarithmic Functions.mp4
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27.3 MB
003. Fitting a Logistic Regression en.srt
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20 KB
003. Fitting a Logistic Regression.mp4
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69.3 MB
003. Multiple Linear Regression en.srt
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5.5 KB
003. Multiple Linear Regression.mp4
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25.4 MB
003. Probability Basics en.srt
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24.9 KB
003. Probability Basics.mp4
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104.9 MB
003. The Normal Distribution en.srt
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14.5 KB
003. The Normal Distribution.mp4
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41.4 MB
003. Transformations and Matrices en.srt
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21.5 KB
003. Transformations and Matrices.mp4
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65.4 MB
004. Bayes Theorem en.srt
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11.7 KB
004. Bayes Theorem.mp4
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40.7 MB
004. Fitting a Linear Regression en.srt
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28.9 KB
004. Fitting a Linear Regression.mp4
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100.3 MB
004. The Central Limit Theorem en.srt
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5.5 KB
004. The Central Limit Theorem.mp4
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17.1 MB
004. The Limit and the Derivative en.srt
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29.1 KB
004. The Limit and the Derivative.mp4
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94 MB
004. The Log-Odds en.srt
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7.2 KB
004. The Log-Odds.mp4
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21.1 MB
004. Transformations, Matrices, and Matrix Multiplication en.srt
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6.3 KB
004. Transformations, Matrices, and Matrix Multiplication.mp4
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18.4 MB
005. Binomial and Beta Distribution en.srt
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13.7 KB
005. Binomial and Beta Distribution.mp4
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41.8 MB
005. Integrals en.srt
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5.9 KB
005. Integrals.mp4
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14.8 MB
005. Overfitting, Variance, and RidgeLasso Regression en.srt
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15.6 KB
005. Overfitting, Variance, and RidgeLasso Regression.mp4
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52 MB
005. Systems of Linear Equations and Inverse Matrices en.srt
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9.9 KB
005. Systems of Linear Equations and Inverse Matrices.mp4
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26.9 MB
005. The R2 and P-Value en.srt
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9.4 KB
005. The R2 and P-Value.mp4
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27.9 MB
005. Z Scores and Confidence Intervals en.srt
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8.3 KB
005. Z Scores and Confidence Intervals.mp4
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30.5 MB
006. Hypothesis Testing en.srt
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14.2 KB
006. Hypothesis Testing.mp4
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45.3 MB
006. Matrix Decomposition en.srt
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8.4 KB
006. Matrix Decomposition.mp4
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27.6 MB
006. ROCAUC and Confusion Matrices en.srt
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20.4 KB
006. ROCAUC and Confusion Matrices.mp4
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70.8 MB
006. TrainTest Splits en.srt
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9.3 KB
006. TrainTest Splits.mp4
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31.1 MB
007. Performance Metrics en.srt
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17.8 KB
007. Performance Metrics.mp4
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53.4 MB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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