Learn mathematics
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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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Basic applied mathematics for the physical sciences: based on the syllabus of the university of delhi university (paperback) description basic applied mathematics for the physical sciences has been designed exclusively for the introductory course on mathematics offered to the undergraduate students of physical sciences and applied physical sciences of the university of delhiemphasis is laid on the application of mathematical conceptsit is structured in three parts, integrating the concepts of matrices, calculus and complex numbersthe text has a perfect blend of theory and numerical problems, with a student-friendly approach and an easy-to-read writing style
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this python training will eventually take you through the scratch of programing to advance python concept with bunch of hands-on practical’s like coding a calculator, web framework, gui of programing, data visualization, machine learning and many more
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₹ 12000
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