Machine Learning with Python - Practical Application

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[ CourseHulu.com ] Machine Learning with Python - Practical Application
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01. Course Overview
    • 01. Course Overview.mp4 (3.5 MB)
    02. Getting Your Hands Dirty with Machine Learning
    • 02. The Right ML Tool for the Job.mp4 (27.8 MB)
    • 03. Getting ML Technical.mp4 (29.7 MB)
    • 04. Learning Styles and Algorithm Types.mp4 (18.6 MB)
    • 05. Platforms and Libraries.mp4 (14.0 MB)
    • 06. Takeaway.mp4 (3.1 MB)
    03. Regression
    • 07. Introduction to Regression Algorithms.mp4 (23.3 MB)
    • 08. Linear Regression.mp4 (11.5 MB)
    • 09. Polynomial Regression.mp4 (6.7 MB)
    • 10. Lasso Regression.mp4 (4.7 MB)
    • 11. Ridge Regression.mp4 (4.2 MB)
    • 12. Perceptron Regression.mp4 (6.8 MB)
    • 13. Takeaway.mp4 (2.2 MB)
    04. Classification
    • 14. Classification Algorithms.mp4 (19.4 MB)
    • 15. Logistic Regression.mp4 (16.1 MB)
    • 16. Naive Bayes.mp4 (13.0 MB)
    • 17. Support Vector Machines.mp4 (9.4 MB)
    • 18. K Nearest Neighbors.mp4 (7.1 MB)
    • 19. Decision Trees and Random Forests.mp4 (11.2 MB)
    • 20. Neural Networks.mp4 (15.5 MB)
    • 21. Convolutional Neural Networks.mp4 (12.1 MB)
    • 22. Takeaway.mp4 (2.3 MB)
    05. Dimensionality Reduction
    • 23. Dimensionality Reduction.mp4 (18.8 MB)
    • 24. Linear Discriminant Analysis.mp4 (6.7 MB)
    • 25. Principal Component Analysis.mp4 (7.1 MB)
    • 26. T Distributed Stochastic Neighbor Embedding.mp4 (8.2 MB)
    • 27. Takeaway.mp4 (1.5 MB)
    06. Clustering
    • 28. Clustering Algorithms.mp4 (17.5 MB)
    • 29. K Means.mp4 (10.0 MB)
    • 30. Gaussian Mixtures.mp4 (7.9 MB)
    • 31. Hierarchical Clustering.mp4 (6.8 MB)
    • 32. Affinity Propagation.mp4 (5.6 MB)
    • 33. Takeaway.mp4 (1.9 MB)
    07. Understanding Other Types of ML Problems
    • 34. Other Types of Machine Learning Algorithms.mp4 (11.8 MB)
    • 35. Final Takeaway.mp4 (24.9 MB)
    • Bonus Resources.txt (0.4 KB)
      • Exercise Files 02
      • getting-your-hands-dirty-with-machine-learning-slides.pdf (1.6 MB)
      03
      • regression-slides.pdf (15.1 MB)
      04
      • classification-slides.pdf (7.7 MB)
      05
      • dimensionality-reduction-slides.pdf (12.5 MB)
      06
      • clustering-slides.pdf (4.0 MB)
      07
      • understanding-other-types-of-ml-problems-slides.pdf (31.1 MB)

Description

Machine Learning with Python - Practical Application



https://CourseHulu.com

Duration: 1h 56m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 462 MB
Genre: eLearning | Language: English

Many problems are solved using Machine Learning. This course will teach you how to pick the ML algorithm that can help you create the right ML model to solve the problem at hand.

What you'll learn
There are many ways to solve a problem using Machine Learning. Picking the right algorithm can make the difference between success or “burning down in flames”. In this course, Machine Learning with Python - Practical Application, you’ll learn how to pick the right ML model to solve your real-world problem. First, you’ll explore the characteristics of many real-world problems that can be solved using ML. Next, you’ll discover how each one of the types of algorithms can solve a particular problem and how. Finally, you’ll learn how to pick the right algorithm for your problem. When you’re finished with this course, you’ll have the skills and knowledge of ML needed to get started working on your problem and make the world a better place.



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Machine Learning with Python - Practical Application

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462.9 MB
seeders:14
leechers:3
Machine Learning with Python - Practical Application

Torrent hash: A9C11ADCA24D5E064A785C380047D14926F459C8