Bumgarner

Exploring and visualizing the fundamentals of K-means clustering with NumPy and scikit-learn.Outline:1. What is K-Means Clustering?2. Implementing K-means from Scratch with NumPy1. K-means++ Cluster Initialization2. K-Means Function Differentiation3. Data Labeling and Centroid Updates4. Fitting it Together3. K-Means for Video Keyframe Extraction: Bee Pose Estimation4. Implementing K-means with scikit-learn5. Summary6. ResourcesArticle OverviewSee my GitHub learning-repo for all of the code behind this post.K-means…

Exploring the fundamentals of logistic regression with NumPy, TensorFlow, and the UCI Heart Disease DatasetLogistic Regression Overview. Image by Author.Outline:1. What is Logistic Regression?2. Breaking Down Logistic Regression1. Linear Transformation2. Sigmoid Activation3. Cross-Entropy Loss Function4. Gradient Descent5. Fitting the Model3. Learning by Example with the UCI Heart Disease Dataset4. Training and Testing Our Classifier5. Implementing Logistic Regression with TensorFlow6. Summary7. Notes and…