Predicts March Madness games. Updated for 2021.
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Updated
Mar 16, 2022 - Python
Predicts March Madness games. Updated for 2021.
Logistic regression geometric interpretation implementation from scratch in python.
Iris Classification
Simple Logistic Regression on a toy Dataset in Tensorflow.
Helper functions for some common tasks
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
Perceptrons, SVMs, and neural networks.
Support Vector Machines (SVMs) from scratch, without dedicated packages, for the classification of linear and non-linear data.
Non parametric Kernel Density Estimator / Classifier. Allows user to input bandwidth but does not find it. Can classify for N dimensions, but can only plot class / decision boundaries for 2.
Machine learning code: linear regression and logistic regression
Andrew Ng Machine Learning Course Coursera
Plotting decision boundaries for high-dimensional data.
Machine learning
A simple web app that helped students visualize the SVM algorithm according to their choice of hyperparameter setting.
Animates the SVM Decision Boundary Hyperplane on the Iris data
Decision Boundaries Visualization of SVDD (libsvm-3.23)
Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.
📈 Interactive decision boundary visualizer
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