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Udemy - Unsupervised Machine Learning with Python

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Category:

Other > Training

Language:

English

Total Size:

4.22 GB

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e1148044f486d256485e328f1c8ea427bb36522c

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tutsnode

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13-05-2021 21:23

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TutsNode.com.txt	61.00 B
[TutsNode.com] - Unsupervised Machine Learning with Python/1. Introduction/1. Section 1.1 Introduction.mp4	43.11 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/1. Introduction/2. Section 1.2 About this Course.mp4	12.12 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/1. Introduction/3. Section 1.3 Course Resources and Set Up.mp4	98.60 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/1. Introduction/3.1 UnsupervisedML_Resources.pdf	178.66 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/1. Introduction/3.2 Course Github site.html	113.00 B
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/1. Section 10.1 Clustering Quality Metrics.mp4	112.89 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/2. Section 10.2 Clustering for Iris Flower Dataset.mp4	177.84 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/3. Section 10.2 Exercises.mp4	3.16 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/3.1 UnsupervisedML_Exercises_Section10.2.pdf	37.04 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/4. Section 10.3 Clustering for MNIST Digits Dataset.mp4	125.73 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/5. Exercises for Section 10.3.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/5.1 UnsupervisedML_Exercises_Section10.3.pdf	72.34 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/6. Section 10.4 Clustering for BBC Text Dataset.mp4	185.92 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/7. Section 10.4 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/10. Case Studies/7.1 UnsupervisedML_Exercises_Section10.4.pdf	58.53 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/11. Concluding Remarks and Thank You/1. Section 11.1 Concluding Remarks and Thank You.mp4	44.64 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/12. Optional/1. Section 12.1 Optional Lecture.mp4	7.89 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/12. Optional/1.1 Link to Introduction to Machine Learning course on Udemy.html	158.00 B
[TutsNode.com] - Unsupervised Machine Learning with Python/12. Optional/1.2 Link to What is Machine Learning free course on Udemy.html	137.00 B
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/1. Section 2.0 Python Demos.mp4	11.38 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/10. Section 2.5 Pandas Demo.mp4	43.55 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/11. Section 2.5 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/11.1 UnsupervisedML_Exercises_Section2.5.pdf	150.23 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/12. Section 2.6 Sklearn Datasets Demo.mp4	40.35 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/2. Section 2.1 Numpy Basic Demos.mp4	186.34 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/3. Section 2.1 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/3.1 UnsupervisedML_Exercises_Section2.1.pdf	116.23 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/4. Section 2.2 Numpy Matrix Operations Demo.mp4	70.45 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/5. Section 2.2 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/5.1 UnsupervisedML_Exercises_Section2.2.pdf	110.05 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/6. Section 2.3 Matplotlib Basic Demo.mp4	71.44 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/7. Section 2.3 Exercises.mp4	3.16 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/7.1 UnsupervisedML_Exercises_Section2.3.pdf	110.13 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/8. Section 2.4 Matplotlib Cluster Plot and Animation Demo.mp4	161.90 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/9. Section 2.4 Exercises.mp4	3.16 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/2. Python Demos/9.1 UnsupervisedML_Exercises_Section2.4.pdf	109.59 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/1. Section 3.0 Review of Mathematical Concepts.mp4	11.48 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/10. Section 3.5 Mean, Variance, and Covariance.mp4	71.28 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/11. Section 3.5 Exercises.mp4	3.18 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/11.1 UnsupervisedML_Exercises_Section3.5.pdf	108.14 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/2. Section 3.1 What is Data in Unsupervised Learning.mp4	100.78 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/3. Section 3.1 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/3.1 UnsupervisedML_Exercises_Section3.1.pdf	195.40 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/4. Section 3.2 Computational Complexity.mp4	94.49 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/5. Section 3.2 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/5.1 UnsupervisedML_Exercises_Section3.2.pdf	113.99 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/6. Section 3.3 Distance Measures.mp4	67.04 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/7. Section 3.3 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/7.1 UnsupervisedML_Exercises_Section3.3.pdf	112.91 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/8. Section 3.4 Singular Value Decomposition.mp4	103.80 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/9. Section 3.4 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/3. Review of Mathematical Concepts/9.1 UnsupervisedML_Exercises_Section3.4.pdf	113.31 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/1. Section 4.1 Hierarchical Clustering Algorithm.mp4	48.31 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/2. Section 4.1 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/2.1 UnsupervisedML_Exercises_Section4.1.pdf	122.13 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/3. Section 4.2 Hierarchical Clustering Code Design.mp4	98.21 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/4. Section 4.3 Hierarchical Clustering Code Walkthrough.mp4	235.98 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/5. Section 4.3 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/4. Hierarchical Clustering/5.1 UnsupervisedML_Exercises_Section4.3.pdf	40.69 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/1. Section 5.1 DBSCAN Algorithm.mp4	70.07 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/2. Section 5.1 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/2.1 UnsupervisedML_Exercises_Section5.1.pdf	51.42 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/3. Section 5.2 DBSCAN Code Design.mp4	41.76 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/4. Section 5.3 DBSCAN Code Walkthrough.mp4	174.74 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/5. Section 5.3 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/5. DBSCAN Clustering/5.1 UnsupervisedML_Exercises_Section5.3.pdf	40.51 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/1. Section 6.1 K Means Algorithm.mp4	86.99 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/2. Section 6.1 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/2.1 UnsupervisedML_Exercises_Section6.1.pdf	135.96 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/3. Section 6.2 K Means Code Design.mp4	82.68 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/4. Section 6.3 K Means Code Walkthrough.mp4	198.31 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/5. Section 6.3 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/6. K Means Clustering/5.1 UnsupervisedML_Exercises_Section6.3.pdf	58.41 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/1. Section 7.1 Normal Distribution Probability Density Function.mp4	124.55 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/1.1 UnsupervisedML_GMM.pdf	285.62 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/2. Section 7.1 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/2.1 UnsupervisedML_Exercises_Section7.1.pdf	145.42 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/3. Section 7.2 Gaussian Mixture Model Algorithm.mp4	97.98 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/3.1 UnsupervisedML_GMM.pdf	285.62 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/4. Section 7.2 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/4.1 UnsupervisedML_Exercises_Section7.2.pdf	142.57 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/5. Section 7.3 Gaussian Mixture Model Code Design.mp4	83.96 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/6. Section 7.4 Gaussian Mixture Model Code Walkthrough.mp4	280.62 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/7. Section 7.4 Exercises.mp4	3.18 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/7. Gaussian Mixture Model Clustering/7.1 UnsupervisedML_Exercises_Section7.4.pdf	130.54 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/1. Section 8.1 Metrics for Measuring Quality of Clustering.mp4	146.33 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/2. Section 8.1 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/2.1 UnsupervisedML_Exercises_Section8.1.pdf	51.90 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/8. Comparison of Clustering Algorithms/3. Section 8.2 Comparison of Algorithms.mp4	114.72 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/1. Section 9.0 Dimension Reduction Overview.mp4	16.10 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/2. Section 9.1 Principal Component Analysis Algorithm.mp4	141.22 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/3. Section 9.1 Exercises.mp4	3.16 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/3.1 UnsupervisedML_Exercises_Section9.1.pdf	129.66 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/4. Section 9.2 Principal Component Analysis Code Design.mp4	22.70 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/5. Section 9.3 Principal Component Analysis Code Walkthrough.mp4	102.27 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/6. Section 9.3 Exercises.mp4	3.16 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/6.1 UnsupervisedML_Exercises_Section9.3.pdf	110.37 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/7. Section 9.4 PCA Applied to MNIST Digits Dataset.mp4	156.66 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/8. Section 9.4 Exercises.mp4	3.17 MB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/8.1 UnsupervisedML_Exercises_Section9.4.pdf	155.04 kB
[TutsNode.com] - Unsupervised Machine Learning with Python/9. Dimension Reduction/9. Section 9.5 Autoencoders.mp4	35.78 MB

Description

Description

Unsupervised Machine Learning involves finding patterns in datasets.

After taking this course, students will be able to understand, implement in Python, and apply algorithms of Unsupervised Machine Learning to real-world datasets.

This course is designed for:

Scientists, engineers, and programmers and others interested in machine learning/data science
No prior experience with machine learning is needed
Students should have knowledge of
Basic linear algebra (vectors, transpose, matrices, matrix multiplication, inverses, determinants, linear spaces)
Basic probability and statistics (mean, covariance matrices, normal distributions)
Python 3 programming

The core of this course involves detailed study of the following algorithms:

Clustering: Hierarchical, DBSCAN, K Means & Gaussian Mixture Model

Dimension Reduction: Principal Component Analysis

The course presents the math underlying these algorithms including normal distributions, expectation maximization, and singular value decomposition. The course also presents detailed explanation of code design and implementation in Python, including use of vectorization for speed up, and metrics for measuring quality of clustering and dimension reduction.

The course codes are then used to address case studies involving real-world data to perform dimension reduction/clustering for the Iris Flowers Dataset, MNIST Digits Dataset (images), and BBC Text Dataset (articles).

Plenty of examples are presented and plots and animations are used to help students get a better understanding of the algorithms.

Course also includes a number of exercises (theoretical, Jupyter Notebook, and programming) for students to gain additional practice.

All resources (presentations, supplementary documents, demos, codes, solutions to exercises) are downloadable from the course Github site.

Students should have a Python installation, such as the Anaconda platform, on their machine with the ability to run programs in the command window and in Jupyter Notebooks
Who this course is for:

Scientists, engineers and programmers interested in data science/machine learning

Requirements

Basic knowledge of Linear Algebra including vectors, matrices, transpose, matrix multiplications, linear spaces
Basic knowledge of Probability and Statistics including mean, covariance, and normal distributions
Ability to program in Python 3
Ability to run Python 3 programs on local machine in Jupyter notebooks and command window

Last Updated 4/2021