Module 4 • Machine Learning Practice with Python – ICARUS Education

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Course Content

Week 1 • Application of deep learning in Python

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

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

Week 2 • End to end data science project in Python

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

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

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

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

Week3 • Machine Learning Project (Done by the students under our supervision)

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

W3L1 Data and intro to project P2 Data cleaning/wrangling

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

W3L2 Machine Learning P1 Model creation/evaluation/selection

W3L2 Machine Learning P2 Final model and its performance measures

W3L2 Machine Learning P3 Limitations

About Instructor

Nijat Aliyev

4 Courses