udemy-cluster-analysis-and-unsupervised-machine-learning-in-python-2020-11

to Unsupervised Learning\ 0:00 Introduction 5:03 Course Outline 9:37 What is unsupervised learning used for 15:08 Why Use Clustering 24:28 Where to get the code 29:04 Anyone Can Succeed in this Course Clustering\ 41:00 An Easy Introduction to K-Means Clustering 48:06 Hard K-Means Exercise Prompt 1 57:19 Hard K-Means Exercise 1 Solution 1:08:28 Hard K-Means Exercise Prompt 2 1:13:32 Hard K-Means Exercise 2 Solution 1:20:41 Hard K-Means Exercise Prompt 3 1:27:36 Hard K-Means Exercise 3 Solution 1:43:59 Hard K-Means Objective Theory 1:57:00 Hard K-Means Objective Code 2:02:14 Soft K-Means 2:07:56 The Soft K-Means Objective Function 2:09:36 Soft K-Means in Python Code 2:19:39 How to Pace Yourself 2:22:58 Visualizing Each Step of K-Means 2:25:17 Examples of where K-Means can fail 2:32:50 Disadvantages of K-Means Clustering 2:35:03 How to Evaluate a Clustering (Purity, Davies-Bouldin Index) 2:41:37 Using K-Means on Real Data MNIST 2:46:38 One Way to Choose K 2:51:54 K-Means Application Finding Clusters of Related Words 3:00:32 Clustering for NLP and Computer Vision Real-World Applications 3:07:30 Suggestion Box Clustering\ 3:10:34 Visual Walkthrough of Agglomerative Hierarchical Clustering 3:13:10 Agglomerative Clustering Options 3:16:49 Using Hierarchical Clustering in Python and Interpreting the Dendrogram 3:21:28 Application Evolution 3:35:28 Application Donald Trump vs. Hillary Clinton Tweets Mixture Models (GMMs)\ 3:54:03 Gaussian Mixture Model (GMM) Algorithm 4:09:34 Write a Gaussian Mixture Model in Python Code 4:28:28 Practical Issues with GMM Singular Covariance 4:37:36 Comparison between GMM and K-Means 4:41:31 Kernel Density Estimation 4:47:56 GMM vs Bayes Classifier (pt 1) 4:57:24 GMM vs Bayes Classifier (pt 2) 5:08:54 Expectation-Maximization (pt 1) 5:20:39 Expectation-Maximization (pt 2) 5:23:04 Expectation-Maximization (pt 3) 5:31:13 Future Unsupervised Learning Algorithms You Will Learn Up Your Environment (FAQ by Student Request)\ 5:32:15 Windows-Focused Environment Setup 2018 5:52:35 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow Help With Python Coding for Beginners (FAQ by Student Request)\ 6:10:08 How to Code by Yourself (part 1) 6:26:03 How to Code by Yourself (part 2) 6:35:27 Proof that using Jupyter Notebook is the same as not using it 6:47:56 Python 2 vs Python 3 Learning Strategies for Machine Learning (FAQ by Student Request)\ 6:52:34 How to Succeed in this Course (Long Version) 7:02:59 Is this for Beginners or Experts Academic or Practical Fast or slow-paced 7:25:03 Machine Learning and AI Prerequisite Roadmap (pt 1) 7:36:23 Machine Learning and AI Prerequisite Roadmap (pt 2) FAQ Finale\ 7:52:30 What is the Appendix 7:55:18 BONUS Where to get discount coupons and FREE deep learning material