Computer Science
Computer Science
Home
Home
Home
About
session
APCSA MCQ Full Practice
l
HH
Helena H
Sat May 4, 4:30 PM
(APCSA 5 scorer) We'll simulate taking the full APCSA Multiple Choice section. We'll go over the explanations for any MCQ you have questions on afterwards.
Agenda:
40 MCQ - 90 minutes
Review - 30 minutes
The session will likely go overtime, but you can leave after the 2 hour mark. Feel free to stay if you have any questions you want more in-depth explanations on or want general tips on the exam.
session
APCSA FRQ Full Practice
l
HH
Helena H
Sun May 5, 4:30 PM
(APCSA 5 scorer) We'll simulate taking the full APCSA Free Response section. I'll answer any questions about scoring and provide example code for how to answer each problem. We'll be using the FRQ from 2021.
Agenda:
4 FRQ (2021) - 90 minutes
Scoring + Questions - 30 minutes
The session will likely go overtime, but you can leave after the 2 hour mark. Feel free to stay if you have any questions you want more in-depth explanations on or want general tips on the exam.
Introduction to Machine Learning with Python!
Artificial Intelligence
l
RA
Rohan A
Fri May 17, 12:00 AM
Lesson 5 - Machine Learning Concepts (2)
Types of Machine Learning:
Supervised - Predicts labels (labeled data)
Unsupervised - Extracts information from unlabeled data
Reinforcement - Given no data, goal is to work with what it has
Introduction to Machine Learning with Python!
Artificial Intelligence
l
RA
Rohan A
Sat May 18, 12:00 AM
Lesson 6 - Machine Learning Concepts (3)
Classification Models:
Predict categorical data
Predict one class out of a SET of classes (a certain state)
Specific Algorithms:
- K nearest neighbors
- Random Forest
- etc.
Welcome to Programming! If you are new and interested in getting started, go check out Khan Academy's Intro to JS course!
Also, check out this Coda doc for more resources to continue your programming journey or other general information about this subworld!
2171
Posts
22748
Members
0
Online
Moderators
l
RB
Reyansh B
l
SW
Saran W
l
AT
Aryan T
Guidelines
- Be respectful - everyone is on different parts of their programming journey. Be nice and kind :)
- Do not post the exact error message from your program! Instead, summarize the context and concept you need help with.
- Avoid giving answers directly - simply receiving the answer is not helpful to learners. Instead, explain the concept and help the learner integrate it into their context.
© 2024 Schoolhouse.world