Applied Machine Learning Algorithms 2024 DevCourseWeb
Seeders : 5 Leechers : 6
| Torrent Hash : | 658B92059149FE7BB646258888FEB8D63E4376D8 |
| Torrent Added : | at April 25, 2024, 3:46 p.m. in Other |
| Torrent Size : | 267.9 MB |
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Applied Machine Learning Algorithms 2024 DevCourseWeb
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Applied Machine Learning Algorithms 2024 DevCourseWeb
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01 - Applied machine learning Algorithms.mp4 -
01 - Applied machine learning Algorithms.srt -
02 - What you should know.mp4 -
02 - What you should know.srt -
01 - K-means.mp4 -
01 - K-means.srt -
02 - K evaluation.mp4 -
02 - K evaluation.srt -
03 - Understanding clusters.mp4 -
03 - Understanding clusters.srt -
04 - Other algorithms.mp4 -
05 - Challenge Apply KNN.mp4 -
05 - Challenge Apply KNN.srt -
06 - Solution Apply KNN.mp4 -
06 - Solution Apply KNN.srt -
01 - PCA.mp4 -
01 - PCA.srt -
02 - Structure of components.mp4 -
02 - Structure of components.srt -
03 - Components.mp4 -
03 - Components.srt -
04 - Scatter plot.mp4 -
04 - Scatter plot.srt -
05 - Other algorithms.mp4 -
05 - Other algorithms.srt -
06 - Challenge Utilize PCA.mp4 -
06 - Challenge Utilize PCA.srt -
07 - Solution Utilize PCA.mp4 -
07 - Solution Utilize PCA.srt -
01 - Linear regression algorithm.mp4 -
01 - Linear regression algorithm.srt -
02 - scikit-learn.mp4 -
02 - scikit-learn.srt -
03 - Real-world example.mp4 -
03 - Real-world example.srt -
04 - Assumptions.mp4 -
04 - Assumptions.srt -
05 - Challenge Develop a linear regression model.mp4 -
05 - Challenge Develop a linear regression model.srt -
06 - Solution Develop a linear regression model.mp4 -
06 - Solution Develop a linear regression model.srt -
01 - Logistic regression algorithm.mp4 -
01 - Logistic regression algorithm.srt -
02 - Basic example.mp4 -
02 - Basic example.srt -
03 - Assumptions.mp4 -
03 - Assumptions.srt -
04 - Challenge Construct a logistic regression model.mp4 -
04 - Challenge Construct a logistic regression model.srt -
05 - Solution Construct a logistic regression model.mp4 -
05 - Solution Construct a logistic regression model.srt -
01 - Decision tree algorithm.mp4 -
01 - Decision tree algorithm.srt -
02 - Real-world example.mp4 -
02 - Real-world example.srt -
03 - Random Forest and XGBoost.mp4 -
03 - Random Forest and XGBoost.srt -
04 - Challenge Design a decision tree model.mp4 -
05 - Solution Design a decision tree model.mp4 -
05 - Solution Design a decision tree model.srt -
01 - Next steps.mp4 -
01 - Next steps.srt -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
182 bytes
01 - Applied machine learning Algorithms.mp4 -
4.5 MB
01 - Applied machine learning Algorithms.srt -
1.5 KB
02 - What you should know.mp4 -
4.9 MB
02 - What you should know.srt -
1.9 KB
01 - K-means.mp4 -
18.4 MB
01 - K-means.srt -
14.4 KB
02 - K evaluation.mp4 -
17.8 MB
02 - K evaluation.srt -
13.7 KB
03 - Understanding clusters.mp4 -
19.1 MB
03 - Understanding clusters.srt -
14.9 KB
04 - Other algorithms.mp4 -
5.8 MB
05 - Challenge Apply KNN.mp4 -
1.5 MB
05 - Challenge Apply KNN.srt -
1.5 KB
06 - Solution Apply KNN.mp4 -
15.7 MB
06 - Solution Apply KNN.srt -
12.8 KB
01 - PCA.mp4 -
8.3 MB
01 - PCA.srt -
6.3 KB
02 - Structure of components.mp4 -
9.0 MB
02 - Structure of components.srt -
6.5 KB
03 - Components.mp4 -
12.0 MB
03 - Components.srt -
8.7 KB
04 - Scatter plot.mp4 -
4.3 MB
04 - Scatter plot.srt -
3.6 KB
05 - Other algorithms.mp4 -
7.6 MB
05 - Other algorithms.srt -
6.5 KB
06 - Challenge Utilize PCA.mp4 -
933.2 KB
06 - Challenge Utilize PCA.srt -
895 bytes
07 - Solution Utilize PCA.mp4 -
11.2 MB
07 - Solution Utilize PCA.srt -
6.8 KB
01 - Linear regression algorithm.mp4 -
9.6 MB
01 - Linear regression algorithm.srt -
7.5 KB
02 - scikit-learn.mp4 -
8.1 MB
02 - scikit-learn.srt -
7.3 KB
03 - Real-world example.mp4 -
13.3 MB
03 - Real-world example.srt -
9.8 KB
04 - Assumptions.mp4 -
14.4 MB
04 - Assumptions.srt -
10.0 KB
05 - Challenge Develop a linear regression model.mp4 -
1.0 MB
05 - Challenge Develop a linear regression model.srt -
804 bytes
06 - Solution Develop a linear regression model.mp4 -
4.2 MB
06 - Solution Develop a linear regression model.srt -
3.1 KB
01 - Logistic regression algorithm.mp4 -
2.7 MB
01 - Logistic regression algorithm.srt -
2.2 KB
02 - Basic example.mp4 -
3.6 MB
02 - Basic example.srt -
3.1 KB
03 - Assumptions.mp4 -
9.5 MB
03 - Assumptions.srt -
6.9 KB
04 - Challenge Construct a logistic regression model.mp4 -
360.4 KB
04 - Challenge Construct a logistic regression model.srt -
264 bytes
05 - Solution Construct a logistic regression model.mp4 -
10.9 MB
05 - Solution Construct a logistic regression model.srt -
7.3 KB
01 - Decision tree algorithm.mp4 -
9.0 MB
01 - Decision tree algorithm.srt -
7.3 KB
02 - Real-world example.mp4 -
15.5 MB
02 - Real-world example.srt -
10.9 KB
03 - Random Forest and XGBoost.mp4 -
8.2 MB
03 - Random Forest and XGBoost.srt -
7.6 KB
04 - Challenge Design a decision tree model.mp4 -
713.5 KB
05 - Solution Design a decision tree model.mp4 -
9.0 MB
05 - Solution Design a decision tree model.srt -
5.7 KB
01 - Next steps.mp4 -
6.6 MB
01 - Next steps.srt -
2.6 KB
Bonus Resources.txt -
386 bytes
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