Reference no: EM133535650
Description
You have selected an open source that we hope you are excited about. Now, let's understand its use of machine learning. The description of the tasks follows.
Tasks
Task 1: The goal of this task is to understand the machine learning solution used in the project. Thus, identify the implemented machine learning solution, including the type of the used ML (e.g., linear regression, LSTM, etc.). Then, identify the used dataset and the data preparation activities.
You may also verify whether pipeline and visualization techniques are used or not. Next, you may assess the solution in terms of strengths and weaknesses and propose alternative solutions, extensions, etc.
Task 2: The goal of this task is to propose an extension to the system. Thus, you need at least to propose a new or an extension to the project's user interface (web app, web page, or mobile app). You need to describe in this task the proposed user interface by describing how the end user will be able to use the system. You may provide figures depicting the UI design.
Task 3: Report the challenges you faced in working on the projects and the lessons you have learned from the activity (2 or more).