Applied Machine Learning - Algorithms (2024)

Size :	267.9 MB
Peers :	Seeders : 13 Leechers : 0
Added :	6 months ago » by freecoursewb » in Other
Language :	English
Last Updated :	5 months ago
Info_Hash :	658B92059149FE7BB646258888FEB8D63E4376D8

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Applied Machine Learning - Algorithms (2024)
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- 182 Bytes

~Get Your Files Here !/01 - Introduction/01 - Applied machine learning Algorithms.mp4

- 4.5 MB

~Get Your Files Here !/01 - Introduction/01 - Applied machine learning Algorithms.srt

- 1.47 KB

~Get Your Files Here !/01 - Introduction/02 - What you should know.mp4

- 4.92 MB

~Get Your Files Here !/01 - Introduction/02 - What you should know.srt

- 1.94 KB

~Get Your Files Here !/02 - 1. Clustering/01 - K-means.mp4

- 18.42 MB

~Get Your Files Here !/02 - 1. Clustering/01 - K-means.srt

- 14.42 KB

~Get Your Files Here !/02 - 1. Clustering/02 - K evaluation.mp4

- 17.82 MB

~Get Your Files Here !/02 - 1. Clustering/02 - K evaluation.srt

- 13.7 KB

~Get Your Files Here !/02 - 1. Clustering/03 - Understanding clusters.mp4

- 19.11 MB

~Get Your Files Here !/02 - 1. Clustering/03 - Understanding clusters.srt

- 14.87 KB

~Get Your Files Here !/02 - 1. Clustering/04 - Other algorithms.mp4

- 5.85 MB

~Get Your Files Here !/02 - 1. Clustering/05 - Challenge Apply KNN.mp4

- 1.54 MB

~Get Your Files Here !/02 - 1. Clustering/05 - Challenge Apply KNN.srt

- 1.49 KB

~Get Your Files Here !/02 - 1. Clustering/06 - Solution Apply KNN.mp4

- 15.75 MB

~Get Your Files Here !/02 - 1. Clustering/06 - Solution Apply KNN.srt

- 12.81 KB

~Get Your Files Here !/03 - 2. PCA/01 - PCA.mp4

- 8.28 MB

~Get Your Files Here !/03 - 2. PCA/01 - PCA.srt

- 6.32 KB

~Get Your Files Here !/03 - 2. PCA/02 - Structure of components.mp4

- 8.96 MB

~Get Your Files Here !/03 - 2. PCA/02 - Structure of components.srt

- 6.54 KB

~Get Your Files Here !/03 - 2. PCA/03 - Components.mp4

- 12 MB

~Get Your Files Here !/03 - 2. PCA/03 - Components.srt

- 8.71 KB

~Get Your Files Here !/03 - 2. PCA/04 - Scatter plot.mp4

- 4.31 MB

~Get Your Files Here !/03 - 2. PCA/04 - Scatter plot.srt

- 3.6 KB

~Get Your Files Here !/03 - 2. PCA/05 - Other algorithms.mp4

- 7.61 MB

~Get Your Files Here !/03 - 2. PCA/05 - Other algorithms.srt

- 6.46 KB

~Get Your Files Here !/03 - 2. PCA/06 - Challenge Utilize PCA.mp4

- 933.15 KB

~Get Your Files Here !/03 - 2. PCA/06 - Challenge Utilize PCA.srt

- 895 Bytes

~Get Your Files Here !/03 - 2. PCA/07 - Solution Utilize PCA.mp4

- 11.18 MB

~Get Your Files Here !/03 - 2. PCA/07 - Solution Utilize PCA.srt

- 6.76 KB

~Get Your Files Here !/04 - 3. Linear Regression/01 - Linear regression algorithm.mp4

- 9.62 MB

~Get Your Files Here !/04 - 3. Linear Regression/01 - Linear regression algorithm.srt

- 7.52 KB

~Get Your Files Here !/04 - 3. Linear Regression/02 - scikit-learn.mp4

- 8.05 MB

~Get Your Files Here !/04 - 3. Linear Regression/02 - scikit-learn.srt

- 7.3 KB

~Get Your Files Here !/04 - 3. Linear Regression/03 - Real-world example.mp4

- 13.29 MB

~Get Your Files Here !/04 - 3. Linear Regression/03 - Real-world example.srt

- 9.76 KB

~Get Your Files Here !/04 - 3. Linear Regression/04 - Assumptions.mp4

- 14.41 MB

~Get Your Files Here !/04 - 3. Linear Regression/04 - Assumptions.srt

- 10 KB

~Get Your Files Here !/04 - 3. Linear Regression/05 - Challenge Develop a linear regression model.mp4

- 1.01 MB

~Get Your Files Here !/04 - 3. Linear Regression/05 - Challenge Develop a linear regression model.srt

- 804 Bytes

~Get Your Files Here !/04 - 3. Linear Regression/06 - Solution Develop a linear regression model.mp4

- 4.21 MB

~Get Your Files Here !/04 - 3. Linear Regression/06 - Solution Develop a linear regression model.srt

- 3.1 KB

~Get Your Files Here !/05 - 4. Logistic Regression/01 - Logistic regression algorithm.mp4

- 2.72 MB

~Get Your Files Here !/05 - 4. Logistic Regression/01 - Logistic regression algorithm.srt

- 2.22 KB

~Get Your Files Here !/05 - 4. Logistic Regression/02 - Basic example.mp4

- 3.58 MB

~Get Your Files Here !/05 - 4. Logistic Regression/02 - Basic example.srt

- 3.06 KB

~Get Your Files Here !/05 - 4. Logistic Regression/03 - Assumptions.mp4

- 9.47 MB

~Get Your Files Here !/05 - 4. Logistic Regression/03 - Assumptions.srt

- 6.86 KB

~Get Your Files Here !/05 - 4. Logistic Regression/04 - Challenge Construct a logistic regression model.mp4

- 360.44 KB

~Get Your Files Here !/05 - 4. Logistic Regression/04 - Challenge Construct a logistic regression model.srt

- 264 Bytes

~Get Your Files Here !/05 - 4. Logistic Regression/05 - Solution Construct a logistic regression model.mp4

- 10.87 MB

~Get Your Files Here !/05 - 4. Logistic Regression/05 - Solution Construct a logistic regression model.srt

- 7.35 KB

~Get Your Files Here !/06 - 5. Decision Trees/01 - Decision tree algorithm.mp4

- 8.97 MB

~Get Your Files Here !/06 - 5. Decision Trees/01 - Decision tree algorithm.srt

- 7.28 KB

~Get Your Files Here !/06 - 5. Decision Trees/02 - Real-world example.mp4

- 15.5 MB

~Get Your Files Here !/06 - 5. Decision Trees/02 - Real-world example.srt

- 10.89 KB

~Get Your Files Here !/06 - 5. Decision Trees/03 - Random Forest and XGBoost.mp4

- 8.18 MB

~Get Your Files Here !/06 - 5. Decision Trees/03 - Random Forest and XGBoost.srt

- 7.59 KB

~Get Your Files Here !/06 - 5. Decision Trees/04 - Challenge Design a decision tree model.mp4

- 713.47 KB

~Get Your Files Here !/06 - 5. Decision Trees/05 - Solution Design a decision tree model.mp4

- 9.05 MB

~Get Your Files Here !/06 - 5. Decision Trees/05 - Solution Design a decision tree model.srt

- 5.69 KB

~Get Your Files Here !/07 - Conclusion/01 - Next steps.mp4

- 6.58 MB

~Get Your Files Here !/07 - Conclusion/01 - Next steps.srt

- 2.62 KB

~Get Your Files Here !/Bonus Resources.txt

- 386 Bytes

Torrent Description

Applied Machine Learning: Algorithms (2024)

https://DevCourseWeb.com

Released 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 58m | Size: 268 MB

With the growing importance of machine learning in almost every sector, professionals need a deeper understanding and practical approach to implementing ML algorithms effectively.

This course covers commonly used machine learning algorithms. Instructor Matt Harrison focuses on non-deep learning algorithms, covering PCA, clustering, linear and logistic regression, decision trees, random forests, and gradient boosting.

Join Matt in this course to understand common ML algorithms, learn their pros and cons, and develop hands-on skills to leverage them by following along with challenges and solutions in GitHub Codespaces.