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[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python
Category:
Other
Date:
08/26/18 at 8:32pm GMT+1
Submitter:
Unknown
Seeders:
5
Leechers:
0
File size:
881 MB in 70 files
Torrent Status:
This torrent has been
verified
.
Infohash:
7ea2631378b04a93b752cf8f1686698abb5cea50
File list
[FreeCoursesOnline.Me] Coursera - Applied Machine Learning in Python
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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