Module 4 • Machine Learning Practice with Python — ICARUS AI

Dr. Nijat Aliyev

Module 4 • Machine Learning Practice with Python

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Course Details

Contact course teacher for more information

Dr. Nijat Aliyev

Profile Courses

Lessons

W1L1 Friendly Introduction to Deep Learning P1 Introduction to Artificial Neural Networks with Keras

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W1L2 The Multilayer Perceptron (MLP) and Backpropagation P1 Implementing MLPs with Keras

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W2L1 End-to-End Machine Learning Project P1 Working with Real Data

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W2L1 End-to-End Machine Learning Project P2 Select a Performance Measure

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W2L2 Create a train and test sets P1 Prepare the Data for Machine Learning Algorithms

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W2L2 Create a train and test sets P2 Model Design in SCIKIT-Learn

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W3L1 Data and intro to project P1 Determining the question of interest

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W3L1 Data and intro to project P2 Data cleaning/wrangling

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W3L1 Data and intro to project P3 Splitting data (train/test)

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W3L2 Machine Learning P1 Model creation/evaluation/selection

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W3L2 Machine Learning P2 Final model and its performance measures

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W3L2 Machine Learning P3 Limitations

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