diff --git a/Getting_Started.md b/Getting_Started.md
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-# Welcome to the Team!
-
-Glad to have you onboard for our predictive modeling project! During these early weeks while you're getting familiar, here are a few things I'd like you all to brush up on:
-
-## 1. Linear Regression
-
-For this project, I plan on starting with **Linear Regression** as it is a fundamental part of machine learning and also a lot easier to grasp and understand. 
-
-**Resource:** [Codecademy - Simple Linear Regression Course](https://www.codecademy.com/learn/simple-linear-regression-course) (free!)
-
-## 2. Git/GitHub
-
-I can't stress this one enough. Understanding how to use Git is absolutely fundamental — so much that I actually want to take the time during our next standup to show you all the workflow we're looking for. 
-
-**IF YOU'RE UNFAMILIAR WITH GIT:**
-Please check out this resource, it's a great interactive tool that will teach you what "git" is and how crucial it is in our project - [Learn git branching](https://learngitbranching.js.org/?locale=en_US)
-
-
-**General workflow:**
-```
-create feature branch → make edits → pull from main → open pull request → merge → repeat
-```
-
-*Don't forget to pull from main regularly to keep up to date*
-
-**Important: Commit Message Standards**
-
-Please follow this format for all commit messages:
-```
-[COMMIT TYPE]: [COMMIT MESSAGE]
-```
-
-**Commit types:**
-- `feat` - New features
-- `fix` - Bug fixes
-- `doc` - Documentation changes
-- `refactor` - Code refactoring
-- `test` - Test additions or modifications
-
-**Example:** `feat: add data preprocessing pipeline`
-
-## 3. Python
-
-Pretty obvious and not too hard. There's lots of great resources out there, but this one is a personal favorite of mine:
-
-**Resource:** [futurecoder.io](https://futurecoder.io)
-
-## 4. CI/CD and Code Quality Tools
-
-We have automated code quality checks that run on every pull request. Here's what you need to know:
-
-### What Gets Checked Automatically
-
-Every time you open a PR, GitHub Actions will automatically run:
-- **Ruff format** - Ensures code formatting consistency
-- **Ruff lint** - Checks code quality and style
-- **mypy** - Type checking for better code reliability
-- **bandit** - Security scanning
-- **pytest** - Runs all tests
-
-### Setting Up Your Local Environment
-
-Install the development tools:
-```bash
-pip install ruff mypy pytest bandit pre-commit
-```
-
-Install pre-commit hooks (highly recommended - runs checks before each commit):
-```bash
-pre-commit install
-```
-
-### Running Checks Locally
-
-Before pushing your code, you can run these commands to catch issues early:
-
-```bash
-ruff format .          # Auto-format your code
-ruff check --fix .     # Lint and auto-fix issues
-mypy .                 # Check types
-pytest                 # Run tests
-```
-
-Or run all pre-commit hooks manually:
-```bash
-pre-commit run --all-files
-```
-
-### Writing Tests
-
-All tests go in the `tests/` directory. Example test structure:
-
-```python
-def test_data_preprocessing():
-    """Test that preprocessing removes null values."""
-    raw_data = load_sample_data()
-    processed = preprocess(raw_data)
-    assert not processed.isnull().any().any()
-```
-
-For ML projects, focus on testing:
-- Data preprocessing functions
-- Model input/output validation
-- Feature engineering logic
-- Edge cases and data quality
-
-This is to be updated...
-
-## 5. What's Next?
-
-TBD
diff --git a/README.md b/README.md
index f4aea3a..13d9a11 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
 # Welcome to the Team!
 
-Glad to have you onboard for our predictive modeling project! During these early weeks while you're getting familiar, here are a few things I'd like you all to brush up on:
+Glad to have you onboard for our predictive modeling project! While you get familiar, here are a few things I'd like you all to brush up on:
 
 ## 1. Linear Regression