Duration: 6 Saturdays (4pm–6pm) | Level: Beginner to Advanced | Mode: Online
NumPy, pandas, matplotlib, scikit‑learn; linear/logistic regression, decision trees.
Perceptron, backpropagation, TensorFlow/Keras, MLP for MNIST.
Convolution, pooling, transfer learning with ResNet, data augmentation.
Tokenization, word embeddings, LSTM, BERT fine‑tuning.
Clustering, PCA, autoencoders, GANs basics.
Deploy models with Gradio, MLflow, capstone presentations.
Get in touch to learn more about our courses and start your tech journey with WCC.
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