Machine Learning and AI Foundations Classification Modeling | C603ECB0F78AC9B38623BBFDE6E1BA46FC06FAC5

Machine Learning and AI Foundations Classification Modeling

Name	Machine Learning and AI Foundations - Classification Modeling	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	262.1 MB
Total Files	62
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Hash	C603ECB0F78AC9B38623BBFDE6E1BA46FC06FAC5

/4.3. Algorithms on Parade/
18.Logistic regression.mp4	25.8 MB
1.Introduction/
01.Classification problems in machine learning.mp4	4.1 MB
02.What you should know.en.srt	2.5 KB
02.What you should know.mp4	3.8 MB
03.Defining terms.en.srt	5.1 KB
03.Defining terms.mp4	5.2 MB
01.Classification problems in machine learning.en.srt	2.2 KB
2.1. The Big Picture - Defining Your Classification Strategy/
04.The importance of binary classification.en.srt	2.9 KB
04.The importance of binary classification.mp4	3.4 MB
05.Binary vs. multinomial.en.srt	5.5 KB
05.Binary vs. multinomial.mp4	9.4 MB
06.So-called “black box” techniques.en.srt	4.4 KB
06.So-called “black box” techniques.mp4	7.0 MB
07.One task, many algorithms.en.srt	3.8 KB
07.One task, many algorithms.mp4	8.9 MB
08.Statistics vs. machine learning.en.srt	4.2 KB
08.Statistics vs. machine learning.mp4	7.0 MB
09.Model assessment vs. business evaluation.en.srt	2.4 KB
09.Model assessment vs. business evaluation.mp4	5.1 MB
3.2. How Do I Choose a 'Winner'/
10.Training and test partitions.en.srt	4.8 KB
10.Training and test partitions.mp4	5.7 MB
11.Lift Charts.en.srt	2.8 KB
11.Lift Charts.mp4	3.5 MB
12.Gains tables.en.srt	3.5 KB
12.Gains tables.mp4	4.7 MB
13.Confusion matrix.en.srt	5.1 KB
13.Confusion matrix.mp4	6.4 MB
4.3. Algorithms on Parade/
14.Overview.en.srt	3.1 KB
14.Overview.mp4	3.7 MB
15.Discriminant with three categories.en.srt	9.4 KB
15.Discriminant with three categories.mp4	12.7 MB
16.Discriminant with two categories.en.srt	8.7 KB
16.Discriminant with two categories.mp4	9.2 MB
17.Stepwise discriminant.en.srt	1.7 KB
17.Stepwise discriminant.mp4	1.8 MB
18.Logistic regression.en.srt	17.3 KB
19.Stepwise logistic regression.en.srt	1.7 KB
19.Stepwise logistic regression.mp4	1.8 MB
20.Decision Trees.en.srt	6.7 KB
20.Decision Trees.mp4	9.7 MB
21.KNN.en.srt	6.3 KB
21.KNN.mp4	9.3 MB
22.Linear SVM.en.srt	12.6 KB
22.Linear SVM.mp4	14.0 MB
23.Neural nets.en.srt	13.0 KB
23.Neural nets.mp4	15.6 MB
24.Bayesian networks.en.srt	11.7 KB
24.Bayesian networks.mp4	18.6 MB
25.Ensembles.en.srt	7.2 KB
25.Ensembles.mp4	9.9 MB
5.4. Common Modeling Challenges/
26.Imbalanced target categories.en.srt	4.5 KB
26.Imbalanced target categories.mp4	6.1 MB
27.Interactions.en.srt	6.6 KB
27.Interactions.mp4	8.6 MB
28.Missing data.en.srt	4.9 KB
28.Missing data.mp4	7.0 MB
29.Bias-variance trade-off and overfitting.en.srt	8.7 KB
29.Bias-variance trade-off and overfitting.mp4	11.7 MB
30.Data reduction.en.srt	11.3 KB
30.Data reduction.mp4	16.1 MB
6.Conclusion/
31.Next steps.en.srt	5.5 KB
31.Next steps.mp4	5.9 MB
Total files 62