Applied Math for Data Science

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种子哈希：f52f97e7a35442933088006326442f9078ba7d43
文档大小：1.6 GB
文档个数：72个文档
下载次数：5265次
下载速度：极快
收录时间：2023-10-02
最近下载：2025-02-10
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文档列表

Module 2 Probability/003. Probability Basics.mp4 110.0 MB
Module 1 Calculus and Functions/002. Mathematical Functions.mp4 106.8 MB
Module 5 Linear Regression/004. Fitting a Linear Regression.mp4 105.1 MB
Module 1 Calculus and Functions/004. The Limit and the Derivative.mp4 98.6 MB
Module 3 Statistics and Hypothesis Testing/002. Descriptive Statistics.mp4 93.3 MB
Module 6 Logistic Regression and Classification/006. ROCAUC and Confusion Matrices.mp4 74.3 MB
Module 6 Logistic Regression and Classification/003. Fitting a Logistic Regression.mp4 72.6 MB
Module 4 Linear Algebra/003. Transformations and Matrices.mp4 68.6 MB
Module 5 Linear Regression/002. Simple Linear Regression.mp4 64.6 MB
Module 4 Linear Algebra/002. Vectors and Vector Operations.mp4 61.6 MB
Module 5 Linear Regression/007. Performance Metrics.mp4 55.9 MB
Module 5 Linear Regression/005. Overfitting, Variance, and RidgeLasso Regression.mp4 54.6 MB
Module 3 Statistics and Hypothesis Testing/006. Hypothesis Testing.mp4 47.5 MB
Module 6 Logistic Regression and Classification/002. Logistic Regression Basics.mp4 46.6 MB
Module 2 Probability/005. Binomial and Beta Distribution.mp4 43.8 MB
Module 3 Statistics and Hypothesis Testing/003. The Normal Distribution.mp4 43.4 MB
Module 2 Probability/004. Bayes Theorem.mp4 42.7 MB
Module 5 Linear Regression/006. TrainTest Splits.mp4 32.6 MB
Module 3 Statistics and Hypothesis Testing/005. Z Scores and Confidence Intervals.mp4 32.0 MB
Module 6 Logistic Regression and Classification/005. The R2 and P-Value.mp4 29.2 MB
Module 4 Linear Algebra/006. Matrix Decomposition.mp4 28.9 MB
Module 1 Calculus and Functions/003. Exponential and Logarithmic Functions.mp4 28.6 MB
Module 4 Linear Algebra/005. Systems of Linear Equations and Inverse Matrices.mp4 28.2 MB
Module 5 Linear Regression/003. Multiple Linear Regression.mp4 26.6 MB
Module 6 Logistic Regression and Classification/004. The Log-Odds.mp4 22.1 MB
Module 2 Probability/002. The Monty Hall Problem.mp4 22.0 MB
Module 4 Linear Algebra/004. Transformations, Matrices, and Matrix Multiplication.mp4 19.3 MB
Module 3 Statistics and Hypothesis Testing/004. The Central Limit Theorem.mp4 17.9 MB
Module 1 Calculus and Functions/005. Integrals.mp4 15.5 MB
Module 0 Course Introduction/001. Course Introduction .mp4 14.7 MB
Module 3 Statistics and Hypothesis Testing/001. Introduction to Module 3.mp4 11.1 MB
Module 4 Linear Algebra/001. Introduction to Module 4.mp4 10.1 MB
Module 5 Linear Regression/001. Introduction to Module 5.mp4 9.1 MB
Module 2 Probability/001. Introduction to Module 2.mp4 6.4 MB
Module 1 Calculus and Functions/001. Introduction to Module 1.mp4 5.9 MB
Module 6 Logistic Regression and Classification/001. Module 6 Introduction.mp4 3.8 MB
Module 1 Calculus and Functions/004. The Limit and the Derivative en.srt 29.8 kB
Module 5 Linear Regression/004. Fitting a Linear Regression en.srt 29.6 kB
Module 1 Calculus and Functions/002. Mathematical Functions en.srt 25.7 kB
Module 2 Probability/003. Probability Basics en.srt 25.5 kB
Module 3 Statistics and Hypothesis Testing/002. Descriptive Statistics en.srt 24.3 kB
Module 4 Linear Algebra/002. Vectors and Vector Operations en.srt 23.1 kB
Module 4 Linear Algebra/003. Transformations and Matrices en.srt 22.1 kB
Module 5 Linear Regression/002. Simple Linear Regression en.srt 21.4 kB
Module 6 Logistic Regression and Classification/006. ROCAUC and Confusion Matrices en.srt 20.9 kB
Module 6 Logistic Regression and Classification/003. Fitting a Logistic Regression en.srt 20.5 kB
Module 5 Linear Regression/007. Performance Metrics en.srt 18.2 kB
Module 5 Linear Regression/005. Overfitting, Variance, and RidgeLasso Regression en.srt 15.9 kB
Module 3 Statistics and Hypothesis Testing/003. The Normal Distribution en.srt 14.9 kB
Module 3 Statistics and Hypothesis Testing/006. Hypothesis Testing en.srt 14.5 kB
Module 2 Probability/005. Binomial and Beta Distribution en.srt 14.1 kB
Module 6 Logistic Regression and Classification/002. Logistic Regression Basics en.srt 13.6 kB
Module 2 Probability/004. Bayes Theorem en.srt 12.0 kB
Module 1 Calculus and Functions/003. Exponential and Logarithmic Functions en.srt 11.3 kB
Module 4 Linear Algebra/005. Systems of Linear Equations and Inverse Matrices en.srt 10.2 kB
Module 6 Logistic Regression and Classification/005. The R2 and P-Value en.srt 9.7 kB
Module 5 Linear Regression/006. TrainTest Splits en.srt 9.5 kB
Module 4 Linear Algebra/006. Matrix Decomposition en.srt 8.6 kB
Module 3 Statistics and Hypothesis Testing/005. Z Scores and Confidence Intervals en.srt 8.4 kB
Module 2 Probability/002. The Monty Hall Problem en.srt 7.5 kB
Module 6 Logistic Regression and Classification/004. The Log-Odds en.srt 7.4 kB
Module 4 Linear Algebra/004. Transformations, Matrices, and Matrix Multiplication en.srt 6.5 kB
Module 1 Calculus and Functions/005. Integrals en.srt 6.0 kB
Module 5 Linear Regression/003. Multiple Linear Regression en.srt 5.6 kB
Module 3 Statistics and Hypothesis Testing/004. The Central Limit Theorem en.srt 5.6 kB
Module 3 Statistics and Hypothesis Testing/001. Introduction to Module 3 en.srt 3.1 kB
Module 4 Linear Algebra/001. Introduction to Module 4 en.srt 2.7 kB
Module 5 Linear Regression/001. Introduction to Module 5 en.srt 2.4 kB
Module 2 Probability/001. Introduction to Module 2 en.srt 2.3 kB
Module 1 Calculus and Functions/001. Introduction to Module 1 en.srt 1.7 kB
Module 0 Course Introduction/001. Course Introduction en.srt 1.3 kB
Module 6 Logistic Regression and Classification/001. Module 6 Introduction en.srt 971 Bytes

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