Laboratory

Introduction to Machine Learning

This laboratory will provide you a foundational understanding of machine learning models (linear regression, logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, computer vision, etc.) as well as demonstrate how these models can solve problems in a variety of industries. In addition, we have designed demonstration exercises that will give you hands-on experience implementing these data science models on data sets. This laboratory is conducted under Warsaw University of Technology.

Project - The Rules

Activities - The Schedule

Demonstration 1 - Linear Regression

Demonstration 2 - PCA, LASSO (L1), Ridge (L2), and ElasticNet Regression

Demonstration 3 - Classification Using Python (1)

Demonstration 4 - Classification Using Python (2)

Demonstration 5 - Clustering Using Python (1)

Demonstration 6 - Clustering Using Python (2)

Demonstration 7 - DNN and CNN Using Python

Demonstration 8 - Real Time Implementation of Face Mask Detection

Bonus ++ - Data Visualization With Python