Computer Science and AI taught interactively

The session focused on troubleshooting and correctly configuring a Python environment using Anaconda for a machine learning project. The Student worked through installing Anaconda, resolving path issues, creating and activating a conda environment, and installing necessary packages. The Tutor is planning to complete the assignment and explain how to run the code.

The Tutor assisted the Student in setting up their coding environment to work on an assignment related to adversarial attacks. The Student downloaded the professor's code, installed necessary Python packages, and began to understand the structure of the provided neural network. The session concluded with a plan to continue running the code and debugging any issues in the next session.

An instructor guided a learner from Fort Lauderdale through building visualizations in PowerBI. The lesson focused on displaying average property median values by city, suburb, and postcode using hierarchies. They also worked on categorizing median values using formulas, encountering data type issues that required troubleshooting. The instructor will complete the categorization task and share the updated file, planning to review the completed work in a follow-up lesson.

Abhinav Jha assisted Madison in debugging several code errors, including mismatched function names and attribute issues. They worked through output discrepancies, syntax errors, and incomplete code. Abhinav offered to review the code offline and schedule another session due to ongoing issues.

Abhinav assisted Madison with debugging two Python coding problems from her assignment, focusing on correcting type errors and logical errors within class functions. They worked through issues related to data retrieval and manipulation. Due to time constraints, they scheduled another session to complete the remaining question, with Madison to provide her availability for scheduling.