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FreeCoursesOnline Me Coursera Applied Machine Learning in Python

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[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python

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Total Size

923.9 MB

Total Files

73

Last Seen

2020-03-30 23:00

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7EA2631378B04A93B752CF8F1686698ABB5CEA50

/001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/

001. Introduction.mp4

32.6 MB

001. Introduction.srt

16.5 KB

002. Key Concepts in Machine Learning.mp4

46.7 MB

002. Key Concepts in Machine Learning.srt

19.3 KB

003. Python Tools for Machine Learning.mp4

13.5 MB

003. Python Tools for Machine Learning.srt

6.3 KB

004. An Example Machine Learning Problem.mp4

33.3 MB

004. An Example Machine Learning Problem.srt

15.2 KB

005. Examining the Data.mp4

33.8 MB

005. Examining the Data.srt

12.3 KB

006. K-Nearest Neighbors Classification.mp4

38.0 MB

006. K-Nearest Neighbors Classification.srt

26.8 KB

/002.Module 2 Supervised Machine Learning/

007. Introduction to Supervised Machine Learning.mp4

39.7 MB

007. Introduction to Supervised Machine Learning.srt

22.7 KB

008. Overfitting and Underfitting.mp4

20.5 MB

008. Overfitting and Underfitting.srt

16.2 KB

009. Supervised Learning Datasets.mp4

11.8 MB

009. Supervised Learning Datasets.srt

6.9 KB

010. K-Nearest Neighbors Classification and Regression.mp4

23.6 MB

010. K-Nearest Neighbors Classification and Regression.srt

17.5 KB

011. Linear Regression Least-Squares.mp4

31.5 MB

011. Linear Regression Least-Squares.srt

21.8 KB

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

41.9 MB

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

27.8 KB

013. Logistic Regression.mp4

21.3 MB

013. Logistic Regression.srt

17.5 KB

014. Linear Classifiers Support Vector Machines.mp4

23.8 MB

014. Linear Classifiers Support Vector Machines.srt

15.9 KB

015. Multi-Class Classification.mp4

16.2 MB

015. Multi-Class Classification.srt

8.5 KB

016. Kernelized Support Vector Machines.mp4

41.0 MB

016. Kernelized Support Vector Machines.srt

26.2 KB

017. Cross-Validation.mp4

21.0 MB

017. Cross-Validation.srt

13.3 KB

018. Decision Trees.mp4

39.7 MB

018. Decision Trees.srt

29.0 KB

/003.Module 3 Evaluation/

019. Model Evaluation & Selection.mp4

48.3 MB

019. Model Evaluation & Selection.srt

30.8 KB

020. Confusion Matrices & Basic Evaluation Metrics.mp4

21.8 MB

020. Confusion Matrices & Basic Evaluation Metrics.srt

16.2 KB

021. Classifier Decision Functions.mp4

13.3 MB

021. Classifier Decision Functions.srt

9.3 KB

022. Precision-recall and ROC curves.mp4

9.7 MB

022. Precision-recall and ROC curves.srt

7.7 KB

023. Multi-Class Evaluation.mp4

20.7 MB

023. Multi-Class Evaluation.srt

15.6 KB

024. Regression Evaluation.mp4

17.8 MB

024. Regression Evaluation.srt

8.0 KB

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

36.2 MB

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

18.6 KB

/004.Module 4 Supervised Machine Learning - Part 2/

026. Naive Bayes Classifiers.mp4

22.4 MB

026. Naive Bayes Classifiers.srt

11.5 KB

027. Random Forests.mp4

27.7 MB

027. Random Forests.srt

17.5 KB

028. Gradient Boosted Decision Trees.mp4

12.4 MB

028. Gradient Boosted Decision Trees.srt

8.6 KB

029. Neural Networks.mp4

43.5 MB

029. Neural Networks.srt

28.6 KB

030. Deep Learning (Optional).mp4

18.3 MB

030. Deep Learning (Optional).srt

10.6 KB

031. Data Leakage.mp4

34.5 MB

031. Data Leakage.srt

17.1 KB

/005.Optional Unsupervised Machine Learning/

032. Introduction.mp4

11.2 MB

032. Introduction.srt

6.6 KB

033. Dimensionality Reduction and Manifold Learning.mp4

16.9 MB

033. Dimensionality Reduction and Manifold Learning.srt

13.8 KB

034. Clustering.mp4

28.5 MB

034. Clustering.srt

20.4 KB

/006.Conclusion/

035. Conclusion.mp4

10.4 MB

035. Conclusion.srt

4.0 KB

/

[FreeCoursesOnline.Me].url

0.1 KB

[FreeTutorials.Us].url

0.1 KB

[FTU Forum].url

0.3 KB

 

Total files 73


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