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course content
introduction to python
basic steps
numpy
data visualization
pandas
exceptions and errors
introduction to artificial intelligence and machine learning
data wrangling and manipulation
supervised learning
supervised learning-classification
unsupervised learning
machine learning pipeline building
decision tree analysis and ensemble learning
ai and deep learning introduction
artificial neural network
deep neural network & tools
deep neural net optimization, tuning, interpretability
convolutional neural net
recurrent neural networks
overfit and underfit
transfer learning
working with generative adversarial networks
pytorch
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