About Comprehensive ML & DL implementations using PyTorch and scikit-learn, including linear & softmax regression, LDA, SVMs, CNNs, ResNet fine-tuning with augmentation, Transformer image captioning, SimCLR self-supervised learning, and unsupervised methods (K-Means, PCA, GMM) on CIFAR-10, MNIST, and housing data and Text-to-Speech with Piper.