About Course
In the course “Python: Quick Start” we will take this fastest start in learning the Python language. Let’s look at the concepts and important nuances that you should definitely learn about at the beginning of your journey. We will consolidate all acquired knowledge with tests and practical assignments. The main goal of the course is to look beyond the façade and banal recommendations. Most of the information applies not only to Python but also to programming in general, where Python acts only as a guide to the world of programming concepts.
Course Content
Section 1: Machine Learning Process
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Machine learning tasks
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Machine learning tasks
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Machine learning model and process
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What is ETL
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Machine learning process
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What is EDA
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Data preparation
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Data preparation
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Splitting the sample
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Hyperparameter Optimization
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Undertraining and overtraining
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Model training
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Bias, Scatter, and Data Error
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Using HDF
Metrics and Models
Artificial neural networks
Section 2. Workshop: Cloud shape recognition
Neural network training
Workshop: Convolutional neural networks
Machine learning ensembles
Convolutional neural network architectures
Workshop: Neural Network Architectures
Workshop: neural networks for segmentation
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