Interesting Visualizations during 100 Days of Python Below is a collection of cool and interesting visualizations I created during my 100 Days of Python.
Annotated stock market through 2008 financial crisis
Hands-On Machine Learning with Scikit-Learn, Keras, & TensorFlow House property evaluation in California
Effects of learning rate on gradient descent
The paths of gradient descent, mini-batch gradient descent, and stochastic gradient descent
Overfitting a polynomial model by increasing the degree
Effect of SVM hyperparameters
Decision tree classifying moons data
Suseptibility of decision trees to rotated data
Evolution of a gradient boost ensemble
Early stopping with XGBoost random forest
Effects of the gamma hyperparameter of RBF Kernel PCA
K-means clustering of the colors of a picture of a flower
Learning patterns of mixed sine waves with RNNs and CNNs Examples of waves the models were trained on.
Predicting the next 10 steps using a simple RNN.
Predicting the entire sequence in time-steps using Long Short-Term Memory cells.
Predicting the entire sequence in time-steps using a 1D Convolutional Neural Network based on the WaveNet architecture.
Autoencoder semantic interpolation of Fashion MNIST
Generative Adversarial Network on Fashion MNIST
Reinforcement learning trained ANN on "cart-pole" problem
