[COURSERA] APPLIED MACHINE LEARNING IN PYTHON [FCO]

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[COURSERA] APPLIED MACHINE LEARNING IN PYTHON [FCO]

Torrent Contents Size: 881.1 MB

[COURSERA] APPLIED MACHINE LEARNING IN PYTHON [FCO]
▼ show more 58 files
001. Introduction.mp4
MP4
31.1 MB
001. Introduction.srt
SRT
16.1 KB
002. Key Concepts in Machine Learning.mp4
MP4
44.6 MB
002. Key Concepts in Machine Learning.srt
SRT
18.8 KB
003. Python Tools for Machine Learning.mp4
MP4
12.9 MB
003. Python Tools for Machine Learning.srt
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6.1 KB
004. An Example Machine Learning Problem.mp4
MP4
31.7 MB
004. An Example Machine Learning Problem.srt
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14.8 KB
005. Examining the Data.mp4
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32.2 MB
005. Examining the Data.srt
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12.1 KB
006. K-Nearest Neighbors Classification.mp4
MP4
36.2 MB
006. K-Nearest Neighbors Classification.srt
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26.2 KB
007. Introduction to Supervised Machine Learning.mp4
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37.9 MB
007. Introduction to Supervised Machine Learning.srt
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22.1 KB
008. Overfitting and Underfitting.mp4
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19.5 MB
008. Overfitting and Underfitting.srt
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15.8 KB
009. Supervised Learning Datasets.mp4
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11.2 MB
009. Supervised Learning Datasets.srt
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6.7 KB
010. K-Nearest Neighbors Classification and Regression.mp4
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22.5 MB
010. K-Nearest Neighbors Classification and Regression.srt
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17.1 KB
011. Linear Regression Least-Squares.mp4
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30.1 MB
011. Linear Regression Least-Squares.srt
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21.3 KB
012. Linear Regression Ridge, Lasso, and Polynomial Regression.mp4
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39.9 MB
012. Linear Regression Ridge, Lasso, and Polynomial Regression.srt
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27.2 KB
013. Logistic Regression.mp4
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20.3 MB
013. Logistic Regression.srt
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17.1 KB
014. Linear Classifiers Support Vector Machines.mp4
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22.7 MB
014. Linear Classifiers Support Vector Machines.srt
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15.5 KB
015. Multi-Class Classification.mp4
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15.4 MB
015. Multi-Class Classification.srt
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8.3 KB
016. Kernelized Support Vector Machines.mp4
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39.1 MB
016. Kernelized Support Vector Machines.srt
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25.6 KB
017. Cross-Validation.mp4
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20 MB
017. Cross-Validation.srt
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13 KB
018. Decision Trees.mp4
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37.8 MB
018. Decision Trees.srt
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28.4 KB
019. Model Evaluation & Selection.mp4
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46.1 MB
019. Model Evaluation & Selection.srt
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30.1 KB
020. Confusion Matrices & Basic Evaluation Metrics.mp4
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20.8 MB
020. Confusion Matrices & Basic Evaluation Metrics.srt
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15.8 KB
021. Classifier Decision Functions.mp4
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12.7 MB
021. Classifier Decision Functions.srt
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9 KB
022. Precision-recall and ROC curves.mp4
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9.2 MB
022. Precision-recall and ROC curves.srt
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7.5 KB
023. Multi-Class Evaluation.mp4
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19.8 MB
023. Multi-Class Evaluation.srt
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15.2 KB
024. Regression Evaluation.mp4
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17 MB
024. Regression Evaluation.srt
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7.8 KB
025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.mp4
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34.5 MB
025. Model Selection Optimizing Classifiers for Different Evaluation Metrics.srt
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18.1 KB
026. Naive Bayes Classifiers.mp4
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21.4 MB
026. Naive Bayes Classifiers.srt
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11.2 KB
027. Random Forests.mp4
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26.4 MB
027. Random Forests.srt
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17.1 KB
028. Gradient Boosted Decision Trees.mp4
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11.8 MB
028. Gradient Boosted Decision Trees.srt
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8.4 KB
029. Neural Networks.mp4
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41.5 MB
029. Neural Networks.srt
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27.9 KB
030. Deep Learning (Optional).mp4
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17.5 MB
030. Deep Learning (Optional).srt
SRT
10.3 KB
031. Data Leakage.mp4
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32.9 MB
031. Data Leakage.srt
SRT
16.7 KB
032. Introduction.mp4
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10.7 MB
032. Introduction.srt
SRT
6.5 KB
033. Dimensionality Reduction and Manifold Learning.mp4
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16.1 MB
033. Dimensionality Reduction and Manifold Learning.srt
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13.5 KB
034. Clustering.mp4
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27.2 MB
034. Clustering.srt
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19.9 KB
035. Conclusion.mp4
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9.9 MB
035. Conclusion.srt
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3.9 KB
[FTU Forum].url
URL
204.8 B
[FreeCoursesOnline.Me].url
URL
102.4 B
[FreeTutorials.Us].url
URL
102.4 B

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