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TORRENT DETAILS

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

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	7ea2631378b04a93b752cf8f1686698abb5cea50
Size:	881.1 MB in 70 files
Release Date(s):	Torrent Release: 26-08-2018 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

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FILE LIST

Filename		Size
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4	31.1 MB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.srt	16.1 KB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4	44.6 MB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.srt	18.8 KB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.mp4	12.9 MB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.srt	6.1 KB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4	31.7 MB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.srt	14.8 KB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4	32.2 MB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.srt	12.1 KB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4	36.2 MB
	001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.srt	26.2 KB
	002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.mp4	37.9 MB
	002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.srt	22.1 KB
	002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.mp4	19.5 MB
	002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.srt	15.8 KB
	002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.mp4	11.2 MB
	002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.srt	6.7 KB
	002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4	22.5 MB
	002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.srt	17.1 KB
	002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4	30.1 MB
	002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.srt	21.3 KB
	002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4	39.9 MB
	002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.srt	27.2 KB
	002.Module 2 Supervised Machine Learning/013. Logistic Regression.mp4	20.3 MB
	002.Module 2 Supervised Machine Learning/013. Logistic Regression.srt	17.1 KB
	002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4	22.7 MB
	002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.srt	15.5 KB
	002.Module 2 Supervised Machine Learning/015. Multi-Class Classification.mp4	15.4 MB
	002.Module 2 Supervised Machine Learning/015. Multi-Class Classification.srt	8.3 KB
	002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.mp4	39.1 MB
	002.Module 2 Supervised Machine Learning/016. Kernelized Support Vector Machines.srt	25.6 KB
	002.Module 2 Supervised Machine Learning/017. Cross-Validation.mp4	20 MB
	002.Module 2 Supervised Machine Learning/017. Cross-Validation.srt	13 KB
	002.Module 2 Supervised Machine Learning/018. Decision Trees.mp4	37.8 MB
	002.Module 2 Supervised Machine Learning/018. Decision Trees.srt	28.4 KB
	003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4	46.1 MB
	003.Module 3 Evaluation/019. Model Evaluation & Selection.srt	30.1 KB
	003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4	20.8 MB
	003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.srt	15.8 KB
	003.Module 3 Evaluation/021. Classifier Decision Functions.mp4	12.7 MB
	003.Module 3 Evaluation/021. Classifier Decision Functions.srt	9 KB
	003.Module 3 Evaluation/022. Precision-recall and ROC curves.mp4	9.2 MB
	003.Module 3 Evaluation/022. Precision-recall and ROC curves.srt	7.5 KB
	003.Module 3 Evaluation/023. Multi-Class Evaluation.mp4	19.8 MB
	003.Module 3 Evaluation/023. Multi-Class Evaluation.srt	15.2 KB
	003.Module 3 Evaluation/024. Regression Evaluation.mp4	17 MB
	003.Module 3 Evaluation/024. Regression Evaluation.srt	7.8 KB
	003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4	34.5 MB
	003.Module 3 Evaluation/025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.srt	18.1 KB
	004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4	21.4 MB
	004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.srt	11.2 KB
	004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.mp4	26.4 MB
	004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.srt	17.1 KB
	004.Module 4 Supervised Machine Learning - Part 2/028. Gradient Boosted Decision Trees.mp4	11.8 MB
	004.Module 4 Supervised Machine Learning - Part 2/028. Gradient Boosted Decision Trees.srt	8.4 KB
	004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4	41.5 MB
	004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.srt	27.9 KB
	004.Module 4 Supervised Machine Learning - Part 2/030. Deep Learning (Optional).mp4	17.5 MB
	004.Module 4 Supervised Machine Learning - Part 2/030. Deep Learning (Optional).srt	10.3 KB
	004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4	32.9 MB
	004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.srt	16.7 KB
	005.Optional Unsupervised Machine Learning/032. Introduction.mp4	10.7 MB
	005.Optional Unsupervised Machine Learning/032. Introduction.srt	6.5 KB
	005.Optional Unsupervised Machine Learning/033. Dimensionality Reduction and Manifold Learning.mp4	16.1 MB
	005.Optional Unsupervised Machine Learning/033. Dimensionality Reduction and Manifold Learning.srt	13.5 KB
	005.Optional Unsupervised Machine Learning/034. Clustering.mp4	27.2 MB
	005.Optional Unsupervised Machine Learning/034. Clustering.srt	19.9 KB
	006.Conclusion/035. Conclusion.mp4	9.9 MB
	006.Conclusion/035. Conclusion.srt	3.9 KB

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