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[FreeCoursesOnline.Me] [Coursera] Applied Machine Learning in Python - [FCO]
大小 881.43 MB
文件数 76
Info Hash: 09404FC5D32E3D36248A64CA461BB02A8080FE47
收录时间 2026-01-14 22:26:04
更新时间 2026-01-14 22:26:04
文件列表 (76)
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.mp4
31.05 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/001. Introduction.srt
16.07 KB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.mp4
44.56 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/002. Key Concepts in Machine Learning.srt
18.82 KB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.mp4
12.86 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/003. Python Tools for Machine Learning.srt
6.11 KB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.mp4
31.73 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/004. An Example Machine Learning Problem.srt
14.83 KB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.mp4
32.24 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/005. Examining the Data.srt
12.05 KB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/006. K-Nearest Neighbors Classification.mp4
36.25 MB
001.Module 1 Fundamentals of Machine Learning - Intro to SciKit Learn/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
002.Module 2 Supervised Machine Learning/007. Introduction to Supervised Machine Learning.srt
22.13 KB
002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.mp4
19.51 MB
002.Module 2 Supervised Machine Learning/008. Overfitting and Underfitting.srt
15.81 KB
002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.mp4
11.22 MB
002.Module 2 Supervised Machine Learning/009. Supervised Learning Datasets.srt
6.74 KB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.mp4
22.53 MB
002.Module 2 Supervised Machine Learning/010. K-Nearest Neighbors Classification and Regression.srt
17.09 KB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.mp4
30.08 MB
002.Module 2 Supervised Machine Learning/011. Linear Regression Least-Squares.srt
21.26 KB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4
39.93 MB
002.Module 2 Supervised Machine Learning/012. Linear Regression Ridge, Lasso, and Polynomial Regression.srt
27.19 KB
002.Module 2 Supervised Machine Learning/013. Logistic Regression.mp4
20.3 MB
002.Module 2 Supervised Machine Learning/013. Logistic Regression.srt
17.13 KB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.mp4
22.69 MB
002.Module 2 Supervised Machine Learning/014. Linear Classifiers Support Vector Machines.srt
15.54 KB
002.Module 2 Supervised Machine Learning/015. Multi-Class Classification.mp4
15.41 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
39.14 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
37.83 MB
002.Module 2 Supervised Machine Learning/018. Decision Trees.srt
28.36 KB
003.Module 3 Evaluation/019. Model Evaluation & Selection.mp4
46.1 MB
003.Module 3 Evaluation/019. Model Evaluation & Selection.srt
30.08 KB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.mp4
20.75 MB
003.Module 3 Evaluation/020. Confusion Matrices & Basic Evaluation Metrics.srt
15.85 KB
003.Module 3 Evaluation/021. Classifier Decision Functions.mp4
12.65 MB
003.Module 3 Evaluation/021. Classifier Decision Functions.srt
9.04 KB
003.Module 3 Evaluation/022. Precision-recall and ROC curves.mp4
9.23 MB
003.Module 3 Evaluation/022. Precision-recall and ROC curves.srt
7.53 KB
003.Module 3 Evaluation/023. Multi-Class Evaluation.mp4
19.77 MB
003.Module 3 Evaluation/023. Multi-Class Evaluation.srt
15.21 KB
003.Module 3 Evaluation/024. Regression Evaluation.mp4
17.01 MB
003.Module 3 Evaluation/024. Regression Evaluation.srt
7.83 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
18.12 KB
004.Module 4 Supervised Machine Learning - Part 2/026. Naive Bayes Classifiers.mp4
21.38 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
26.45 MB
004.Module 4 Supervised Machine Learning - Part 2/027. Random Forests.srt
17.07 KB
004.Module 4 Supervised Machine Learning - Part 2/028. Gradient Boosted Decision Trees.mp4
11.81 MB
004.Module 4 Supervised Machine Learning - Part 2/028. Gradient Boosted Decision Trees.srt
8.44 KB
004.Module 4 Supervised Machine Learning - Part 2/029. Neural Networks.mp4
41.51 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
17.46 MB
004.Module 4 Supervised Machine Learning - Part 2/030. Deep Learning (Optional).srt
10.34 KB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.mp4
32.89 MB
004.Module 4 Supervised Machine Learning - Part 2/031. Data Leakage.srt
16.69 KB
005.Optional Unsupervised Machine Learning/032. Introduction.mp4
10.67 MB
005.Optional Unsupervised Machine Learning/032. Introduction.srt
6.46 KB
005.Optional Unsupervised Machine Learning/033. Dimensionality Reduction and Manifold Learning.mp4
16.09 MB
005.Optional Unsupervised Machine Learning/033. Dimensionality Reduction and Manifold Learning.srt
13.47 KB
005.Optional Unsupervised Machine Learning/034. Clustering.mp4
27.18 MB
005.Optional Unsupervised Machine Learning/034. Clustering.srt
19.9 KB
006.Conclusion/035. Conclusion.mp4
9.89 MB
006.Conclusion/035. Conclusion.srt
3.9 KB
Discuss.FreeTutorials.Us.html
165.68 KB
FreeCoursesOnline.Me.html
108.3 KB
FreeTutorials.Eu.html
102.23 KB
How you can help Team-FTU.txt
259 B
[TGx]Downloaded from torrentgalaxy.org.txt
524 B
Torrent Downloaded From GloDls.to.txt
84 B
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