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import tensorflow as tf

# Define the input data
X = np.array([
  [10], # grade on first assessment
  [20], # grade on second assessment
  [30]  # grade on third assessment
])

# Define the target variable

mamigot

# Open edX APIs often require an access token that is obtained through the OAuth2 protocol. Here are the general steps you would take:
# Request an access token: The first step is to request an access token. For this, you would send a POST request to the /oauth2/access_token endpoint with your client ID and secret. Here’s an example of how to do it with requests in Python:
import requests
import json

url = "https://your-open-edx-instance.com/oauth2/access_token"

headers = {
    "Content-Type": "application/json"
}

mamigot

/* brand.css - Agentic AI Brand Identity for Web Applications */

/* Root variables for scalability and theming */
:root {
  /* Color Palette */
  --primary-color: #1a73e8; /* Bright blue - conveys innovation and trust */
  --secondary-color: #34c759; /* Vibrant green - suggests growth and AI dynamism */
  --accent-color: #fbbc05; /* Warm yellow - highlights and calls-to-action */
  --background-dark: #1f2a44; /* Dark navy - modern, tech-focused background */
  --background-light: #f5f7fa; /* Light gray - clean and minimal */