[COURSERA] APPLIED MACHINE LEARNING IN PYTHON [FCO]

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Torrent Hash :	7EA2631378B04A93B752CF8F1686698ABB5CEA50
Torrent Added :	1 Year+ in Other - Other
Torrent Size :	881.06 MB

[COURSERA] APPLIED MACHINE LEARNING IN PYTHON [FCO]
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Torrent File Content (73 files)

[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn
001. Introduction.mp4 -

31.05 MB

001. Introduction.srt -

16.07 KB

002. Key Concepts in Machine Learning.mp4 -

44.56 MB

002. Key Concepts in Machine Learning.srt -

18.82 KB

003. Python Tools for Machine Learning.mp4 -

12.86 MB

003. Python Tools for Machine Learning.srt -

6.11 KB

004. An Example Machine Learning Problem.mp4 -

31.73 MB

004. An Example Machine Learning Problem.srt -

14.83 KB

005. Examining the Data.mp4 -

32.24 MB

005. Examining the Data.srt -

12.05 KB

006. K-Nearest Neighbors Classification.mp4 -

36.25 MB

006. K-Nearest Neighbors Classification.srt -

26.19 KB

002.Module 2 Supervised Machine Learning
007. Introduction to Supervised Machine Learning.mp4 -

37.88 MB

007. Introduction to Supervised Machine Learning.srt -

22.13 KB

008. Overfitting and Underfitting.mp4 -

19.51 MB

008. Overfitting and Underfitting.srt -

15.81 KB

009. Supervised Learning Datasets.mp4 -

11.22 MB

009. Supervised Learning Datasets.srt -

6.74 KB

010. K-Nearest Neighbors Classification and Regression.mp4 -

22.53 MB

010. K-Nearest Neighbors Classification and Regression.srt -

17.09 KB

011. Linear Regression Least-Squares.mp4 -

30.08 MB

011. Linear Regression Least-Squares.srt -

21.26 KB

012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4 -

39.93 MB

012. Linear Regression Ridge, Lasso, and Polynomial Regression.srt -

27.19 KB

013. Logistic Regression.mp4 -

20.3 MB

013. Logistic Regression.srt -

17.13 KB

014. Linear Classifiers Support Vector Machines.mp4 -

22.69 MB

014. Linear Classifiers Support Vector Machines.srt -

15.54 KB

015. Multi-Class Classification.mp4 -

15.41 MB

015. Multi-Class Classification.srt -

8.3 KB

016. Kernelized Support Vector Machines.mp4 -

39.14 MB

016. Kernelized Support Vector Machines.srt -

25.6 KB

017. Cross-Validation.mp4 -

20 MB

017. Cross-Validation.srt -

13 KB

018. Decision Trees.mp4 -

37.83 MB

018. Decision Trees.srt -

28.36 KB

003.Module 3 Evaluation
019. Model Evaluation & Selection.mp4 -

46.1 MB

019. Model Evaluation & Selection.srt -

30.08 KB

020. Confusion Matrices & Basic Evaluation Metrics.mp4 -

20.75 MB

020. Confusion Matrices & Basic Evaluation Metrics.srt -

15.85 KB

021. Classifier Decision Functions.mp4 -

12.65 MB

021. Classifier Decision Functions.srt -

9.04 KB

022. Precision-recall and ROC curves.mp4 -

9.23 MB

022. Precision-recall and ROC curves.srt -

7.53 KB

023. Multi-Class Evaluation.mp4 -

19.77 MB

023. Multi-Class Evaluation.srt -

15.21 KB

024. Regression Evaluation.mp4 -

17.01 MB

024. Regression Evaluation.srt -

7.83 KB

025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4 -

34.5 MB

025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.srt -

18.12 KB

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[COURSERA] APPLIED MACHINE LEARNING IN PYTHON [FCO]

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